aml
structure
3
.Data
list
3
time
numeric
23
9
13
13
18
23
28
31
34
45
48
161
5
5
8
8
12
16
23
27
30
33
43
45
cens
numeric
23
1
1
0
1
1
0
1
1
0
1
0
1
1
1
1
1
0
1
1
1
1
1
1
group
numeric
23
1
1
1
1
1
1
1
1
1
1
1
2
2
2
2
2
2
2
2
2
2
2
2
row.names
character
23
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
class
character
1
data.frame
beaver
structure
4
.Data
list
4
day
numeric
100
307
307
307
307
307
307
307
307
307
307
307
307
307
307
307
307
307
307
307
307
307
307
307
307
307
307
307
307
307
307
307
307
307
307
307
307
307
307
307
307
307
307
307
307
307
307
307
307
307
307
307
307
307
307
307
307
307
307
307
307
307
307
307
307
307
307
307
307
307
307
307
307
307
307
307
307
307
307
307
307
307
307
307
307
307
307
307
308
308
308
308
308
308
308
308
308
308
308
308
308
time
numeric
100
930
940
950
1000
1010
1020
1030
1040
1050
1100
1110
1120
1130
1140
1150
1200
1210
1220
1230
1240
1250
1300
1310
1320
1330
1340
1350
1400
1410
1420
1430
1440
1450
1500
1510
1520
1530
1540
1550
1600
1610
1620
1630
1640
1650
1700
1710
1720
1730
1740
1750
1800
1810
1820
1830
1840
1850
1900
1910
1920
1930
1940
1950
2000
2010
2020
2030
2040
2050
2100
2110
2120
2130
2140
2150
2200
2210
2220
2230
2240
2250
2300
2310
2320
2330
2340
2350
0
10
20
30
40
50
100
110
120
130
140
150
200
temp
numeric
100
36.579999999999998
36.729999999999997
36.93
37.149999999999999
37.229999999999997
37.240000000000002
37.240000000000002
36.899999999999999
36.950000000000003
36.890000000000001
36.950000000000003
37
36.899999999999999
36.990000000000002
36.990000000000002
37.009999999999998
37.039999999999999
37.039999999999999
37.140000000000001
37.07
36.979999999999997
37.009999999999998
36.969999999999999
36.969999999999999
37.119999999999997
37.130000000000003
37.140000000000001
37.149999999999999
37.170000000000002
37.119999999999997
37.119999999999997
37.170000000000002
37.280000000000001
37.280000000000001
37.439999999999998
37.509999999999998
37.640000000000001
37.509999999999998
37.979999999999997
38.020000000000003
38
38.240000000000002
38.100000000000001
38.240000000000002
38.109999999999999
38.020000000000003
38.109999999999999
38.009999999999998
37.909999999999997
37.960000000000001
38.030000000000001
38.170000000000002
38.189999999999998
38.18
38.149999999999999
38.039999999999999
37.960000000000001
37.840000000000003
37.829999999999998
37.840000000000003
37.740000000000002
37.759999999999998
37.759999999999998
37.640000000000001
37.630000000000003
38.060000000000002
38.189999999999998
38.350000000000001
38.25
37.859999999999999
37.950000000000003
37.950000000000003
37.759999999999998
37.600000000000001
37.890000000000001
37.859999999999999
37.710000000000001
37.780000000000001
37.82
37.759999999999998
37.810000000000002
37.840000000000003
38.009999999999998
38.100000000000001
38.149999999999999
37.920000000000002
37.640000000000001
37.700000000000003
37.460000000000001
37.409999999999997
37.460000000000001
37.560000000000002
37.549999999999997
37.75
37.759999999999998
37.729999999999997
37.770000000000003
38.009999999999998
38.039999999999999
38.07
activ
numeric
100
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
class
character
2
rts
data.frame
row.names
character
100
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
tspar
structure
2
.Data
numeric
3
1
1
1
.Names
character
3
start
deltat
frequency
calcium
structure
3
.Data
list
2
time
numeric
27
0.45000000000000001
0.45000000000000001
0.45000000000000001
1.3
1.3
1.3
2.3999999999999999
2.3999999999999999
2.3999999999999999
4
4
4
6.0999999999999996
6.0999999999999996
6.0999999999999996
8.0500000000000007
8.0500000000000007
8.0500000000000007
11.15
11.15
11.15
13.15
13.15
13.15
15
15
15
cal
numeric
27
0.3417
-0.0043800000000000002
0.82530999999999999
1.7796700000000001
0.95384000000000002
0.64080000000000004
1.75136
1.2749699999999999
1.1733199999999999
3.1227299999999998
2.6095799999999998
2.57429
3.1788099999999999
3.0078200000000002
2.6706099999999999
3.05959
3.9432100000000001
3.4372600000000002
4.8073499999999996
3.3558300000000001
2.7830900000000001
5.1382500000000002
4.7027400000000004
4.2570199999999998
3.6040700000000001
4.15029
3.4248400000000001
row.names
character
27
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
class
character
1
data.frame
cats
structure
3
.Data
list
3
Sex
structure
3
.Data
integer
144
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
.Label
character
2
F
M
class
character
1
factor
Bwt
numeric
144
2
2
2
2.1000000000000001
2.1000000000000001
2.1000000000000001
2.1000000000000001
2.1000000000000001
2.1000000000000001
2.1000000000000001
2.1000000000000001
2.1000000000000001
2.2000000000000002
2.2000000000000002
2.2000000000000002
2.2000000000000002
2.2000000000000002
2.2000000000000002
2.2999999999999998
2.2999999999999998
2.2999999999999998
2.2999999999999998
2.2999999999999998
2.2999999999999998
2.2999999999999998
2.2999999999999998
2.2999999999999998
2.2999999999999998
2.2999999999999998
2.2999999999999998
2.3999999999999999
2.3999999999999999
2.3999999999999999
2.3999999999999999
2.5
2.5
2.6000000000000001
2.6000000000000001
2.6000000000000001
2.7000000000000002
2.7000000000000002
2.7000000000000002
2.8999999999999999
2.8999999999999999
2.8999999999999999
3
3
2
2
2.1000000000000001
2.2000000000000002
2.2000000000000002
2.2000000000000002
2.2000000000000002
2.2000000000000002
2.2000000000000002
2.2000000000000002
2.2000000000000002
2.2999999999999998
2.3999999999999999
2.3999999999999999
2.3999999999999999
2.3999999999999999
2.3999999999999999
2.5
2.5
2.5
2.5
2.5
2.5
2.5
2.5
2.6000000000000001
2.6000000000000001
2.6000000000000001
2.6000000000000001
2.6000000000000001
2.6000000000000001
2.7000000000000002
2.7000000000000002
2.7000000000000002
2.7000000000000002
2.7000000000000002
2.7000000000000002
2.7000000000000002
2.7000000000000002
2.7000000000000002
2.7999999999999998
2.7999999999999998
2.7999999999999998
2.7999999999999998
2.7999999999999998
2.7999999999999998
2.7999999999999998
2.8999999999999999
2.8999999999999999
2.8999999999999999
2.8999999999999999
2.8999999999999999
3
3
3
3
3
3
3
3
3
3.1000000000000001
3.1000000000000001
3.1000000000000001
3.1000000000000001
3.1000000000000001
3.1000000000000001
3.2000000000000002
3.2000000000000002
3.2000000000000002
3.2000000000000002
3.2000000000000002
3.2000000000000002
3.2999999999999998
3.2999999999999998
3.2999999999999998
3.2999999999999998
3.2999999999999998
3.3999999999999999
3.3999999999999999
3.3999999999999999
3.3999999999999999
3.3999999999999999
3.5
3.5
3.5
3.5
3.5
3.6000000000000001
3.6000000000000001
3.6000000000000001
3.6000000000000001
3.7000000000000002
3.7999999999999998
3.7999999999999998
3.8999999999999999
3.8999999999999999
Hwt
numeric
144
7
7.4000000000000004
9.5
7.2000000000000002
7.2999999999999998
7.5999999999999996
8.0999999999999996
8.1999999999999993
8.3000000000000007
8.5
8.6999999999999993
9.8000000000000007
7.0999999999999996
8.6999999999999993
9.0999999999999996
9.6999999999999993
10.9
11
7.2999999999999998
7.9000000000000004
8.4000000000000004
9
9
9.5
9.5999999999999996
9.6999999999999993
10.1
10.1
10.6
11.199999999999999
6.2999999999999998
8.6999999999999993
8.8000000000000007
10.199999999999999
9
10.9
8.6999999999999993
10.1
10.1
8.5
10.199999999999999
10.800000000000001
9.9000000000000004
10.1
10.1
10.6
13
6.5
6.5
10.1
7.2000000000000002
7.5999999999999996
7.9000000000000004
8.5
9.0999999999999996
9.5999999999999996
9.5999999999999996
10.699999999999999
9.5999999999999996
7.2999999999999998
7.9000000000000004
7.9000000000000004
9.0999999999999996
9.3000000000000007
7.9000000000000004
8.5999999999999996
8.8000000000000007
8.8000000000000007
9.3000000000000007
11
12.699999999999999
12.699999999999999
7.7000000000000002
8.3000000000000007
9.4000000000000004
9.4000000000000004
10.5
11.5
8
9
9.5999999999999996
9.5999999999999996
9.8000000000000007
10.4
11.1
12
12.5
9.0999999999999996
10
10.199999999999999
11.4
12
13.300000000000001
13.5
9.4000000000000004
10.1
10.6
11.300000000000001
11.800000000000001
10
10.4
10.6
11.6
12.199999999999999
12.4
12.699999999999999
13.300000000000001
13.800000000000001
9.9000000000000004
11.5
12.1
12.5
13
14.300000000000001
11.6
11.9
12.300000000000001
13
13.5
13.6
11.5
12
14.1
14.9
15.4
11.199999999999999
12.199999999999999
12.4
12.800000000000001
14.4
11.699999999999999
12.9
15.6
15.699999999999999
17.199999999999999
11.800000000000001
13.300000000000001
14.800000000000001
15
11
14.800000000000001
16.800000000000001
14.4
20.5
row.names
character
144
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
class
character
1
data.frame
cd4
structure
3
.Data
list
2
baseline
numeric
20
2.1200000000000001
4.3499999999999996
3.3900000000000001
2.5099999999999998
4.04
5.0999999999999996
3.77
3.3500000000000001
4.0999999999999996
3.3500000000000001
4.1500000000000004
3.5600000000000001
3.3900000000000001
1.8799999999999999
2.5600000000000001
2.96
2.4900000000000002
3.0299999999999998
2.6600000000000001
3
oneyear
numeric
20
2.4700000000000002
4.6100000000000003
5.2599999999999998
3.02
6.3600000000000003
5.9299999999999997
3.9300000000000002
4.0899999999999999
4.8799999999999999
3.8100000000000001
4.7400000000000002
3.29
5.5499999999999998
2.8199999999999998
4.2300000000000004
3.23
2.5600000000000001
4.3099999999999996
4.3700000000000001
2.3999999999999999
row.names
character
20
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
class
character
1
data.frame
city
structure
3
.Data
list
2
u
numeric
10
138
93
61
179
48
37
29
23
30
2
x
numeric
10
143
104
69
260
75
63
50
48
111
50
row.names
character
10
1
2
3
4
5
6
7
8
9
10
class
character
1
data.frame
co.transfer
structure
3
.Data
list
2
entry
numeric
7
40
50
56
58
60
62
66
week
numeric
7
73
52
80
85
64
63
60
row.names
character
7
1
2
3
4
5
6
7
class
character
1
data.frame
downs.bc
structure
3
.Data
list
3
age
numeric
30
17
18.5
19.5
20.5
21.5
22.5
23.5
24.5
25.5
26.5
27.5
28.5
29.5
30.5
31.5
32.5
33.5
34.5
35.5
36.5
37.5
38.5
39.5
40.5
41.5
42.399999999999999
43.5
44.5
45.5
47
m
numeric
30
13555
13675
18752
22005
23896
24667
24807
23986
22860
21450
19202
17450
15685
13954
11987
10983
9825
8483
7448
6628
5780
4834
3961
2952
2276
1589
1018
596
327
249
r
numeric
30
16
15
16
22
16
12
17
22
15
14
27
14
9
12
12
18
13
11
23
13
17
15
30
31
33
20
16
22
11
7
row.names
character
30
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
class
character
1
data.frame
frets
structure
3
.Data
list
4
l1
numeric
25
191
195
181
183
176
208
189
197
188
192
179
183
174
190
188
163
195
186
181
175
192
174
176
197
190
b1
numeric
25
155
149
148
153
144
157
150
159
152
150
158
147
150
159
151
137
155
153
145
140
154
143
139
167
163
l2
numeric
25
179
201
185
188
171
192
190
189
197
187
186
174
185
195
187
161
183
173
182
165
185
178
176
200
187
b2
numeric
25
145
152
149
149
142
152
149
152
159
151
148
147
152
157
158
130
158
148
146
137
152
147
143
158
150
row.names
character
25
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
class
character
1
data.frame
grav
structure
3
.Data
list
2
g
numeric
26
82
79
81
79
77
79
79
78
79
82
76
73
64
84
86
85
82
77
76
77
80
83
81
78
78
78
series
structure
3
.Data
integer
26
7
7
7
7
7
7
7
7
7
7
7
7
7
8
8
8
8
8
8
8
8
8
8
8
8
8
.Label
character
8
1
2
3
4
5
6
7
8
class
character
1
factor
row.names
character
26
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
class
character
1
data.frame
mammals
structure
3
.Data
list
2
body
numeric
62
3.3849999999999998
0.47999999999999998
1.3500000000000001
465
36.329999999999998
27.66
14.83
1.04
4.1900000000000004
0.42499999999999999
0.10100000000000001
0.92000000000000004
1
0.0050000000000000001
0.059999999999999998
3.5
2
1.7
2547
0.023
187.09999999999999
521
0.78500000000000003
10
3.2999999999999998
0.20000000000000001
1.4099999999999999
529
207
85
0.75
62
6654
3.5
6.7999999999999998
35
4.0499999999999998
0.12
0.023
0.01
1.3999999999999999
250
2.5
55.5
100
52.159999999999997
10.550000000000001
0.55000000000000004
60
3.6000000000000001
4.2880000000000003
0.28000000000000003
0.074999999999999997
0.122
0.048000000000000001
192
3
160
0.90000000000000002
1.6200000000000001
0.104
4.2350000000000003
brain
numeric
62
44.5
15.5
8.0999999999999996
423
119.5
115
98.200000000000003
5.5
58
6.4000000000000004
4
5.7000000000000002
6.5999999999999996
0.14000000000000001
1
10.800000000000001
12.300000000000001
6.2999999999999998
4603
0.29999999999999999
419
655
3.5
115
25.600000000000001
5
17.5
680
406
325
12.300000000000001
1320
5712
3.8999999999999999
179
56
17
1
0.40000000000000002
0.25
12.5
490
12.1
175
157
440
179.5
2.3999999999999999
81
21
39.200000000000003
1.8999999999999999
1.2
3
0.33000000000000002
180
25
169
2.6000000000000001
11.4
2.5
50.399999999999999
row.names
character
62
Artic fox
Owl monkey
Mountian beaver
Cow
Grey wolf
Goat
Roe deer
Guinea pig
Verbet
Chinchilla
Ground squirrel
Artic ground squirrel
African giant pouched rat
Lesser short-tailed shrew
Star-nosed mole
Nine-banded armadillo
Tree hyrax
N.A. opossum
Asian elephant
Big brown bat
Donkey
Horse
European hedgehog
Patas monkey
Cat
Galago
Genet
Giraffe
Gorilla
Grey seal
Rock hyrax-a
Human
African elephant
Water opossum
Rhesus monkey
Kangaroo
Yellow-bellied marmot
Golden hamster
Mouse
Little brown bat
Slow loris
Okapi
Rabbit
Sheep
Jaguar
Chimpanzee
Baboon
Desert hedgehog
Giant armadillo
Rock hyrax-b
Raccoon
Rat
E. American mole
Mole rat
Musk shrew
Pig
Echidna
Brazilian tapir
Tenrec
Phalanger
Tree shrew
Red fox
class
character
1
data.frame
melanoma
structure
3
.Data
list
2
year
numeric
37
1936
1937
1938
1939
1940
1941
1942
1943
1944
1945
1946
1947
1948
1949
1950
1951
1952
1953
1954
1955
1956
1957
1958
1959
1960
1961
1962
1963
1964
1965
1966
1967
1968
1969
1970
1971
1972
incidence
numeric
37
0.90000000000000002
0.80000000000000004
0.80000000000000004
1.3
1.3999999999999999
1.2
1.7
1.8
1.6000000000000001
1.5
1.5
2
2.5
2.7000000000000002
2.8999999999999999
2.5
3.1000000000000001
2.3999999999999999
2.2000000000000002
2.8999999999999999
2.5
2.6000000000000001
3.2000000000000002
3.7999999999999998
4.2000000000000002
3.8999999999999999
3.7000000000000002
3.2999999999999998
3.7000000000000002
3.8999999999999999
4.0999999999999996
3.7999999999999998
4.7000000000000002
4.4000000000000004
4.7999999999999998
4.7999999999999998
4.7999999999999998
row.names
character
37
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
class
character
1
data.frame
neuro
structure
2
.Data
numeric
2814
N
N
N
N
N
N
N
N
N
N
N
N
N
N
-233.59999999999999
N
N
N
N
N
N
N
-249.59999999999999
N
N
N
N
-240.90000000000001
-247.09999999999999
N
N
N
N
N
N
N
N
N
N
N
N
N
-247
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
-216.80000000000001
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
-201.59999999999999
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
-229.80000000000001
N
N
N
N
N
-238.80000000000001
N
N
-239.40000000000001
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
-221.69999999999999
-248.90000000000001
-247.80000000000001
-249.90000000000001
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
-231.59999999999999
N
N
N
N
N
N
-230.19999999999999
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
-239.80000000000001
N
N
N
N
N
N
N
N
N
N
N
N
-243.30000000000001
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
-196.90000000000001
N
N
-213.90000000000001
N
N
N
N
N
N
N
N
N
N
N
N
N
N
-235.90000000000001
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
-231.90000000000001
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
-239.90000000000001
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
-227.80000000000001
N
N
N
-232.80000000000001
N
-245.19999999999999
N
N
-224.59999999999999
N
N
N
N
N
N
N
-234
N
N
N
N
N
N
N
N
N
N
-239
-221.30000000000001
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
-219.90000000000001
N
N
N
N
N
N
-241.19999999999999
-226.69999999999999
N
N
N
N
-215.80000000000001
N
N
N
N
-219.59999999999999
N
N
N
N
N
-222.19999999999999
-236.30000000000001
N
N
N
-242.59999999999999
-235.90000000000001
N
N
-247.59999999999999
N
N
-203.69999999999999
-203
-249
-231.5
N
-223.09999999999999
-164.80000000000001
-221.59999999999999
-153.69999999999999
-184.69999999999999
N
-197.59999999999999
-247.80000000000001
-227
-115.90000000000001
-232.40000000000001
-199.40000000000001
-195.69999999999999
-180.09999999999999
N
-217.30000000000001
-139.69999999999999
-132.80000000000001
-152.69999999999999
-224.09999999999999
N
-202.80000000000001
-138.40000000000001
-128.19999999999999
-185.40000000000001
-182.5
-202.19999999999999
-193.30000000000001
-189.40000000000001
-149
-162.40000000000001
-213.40000000000001
-183.09999999999999
-247.19999999999999
-233.59999999999999
-167.90000000000001
-186
-132.19999999999999
-204.90000000000001
-166.59999999999999
-190.30000000000001
-191.40000000000001
-165.80000000000001
-118.40000000000001
-197.40000000000001
-230.40000000000001
-202.80000000000001
-170.59999999999999
-226.5
-153.19999999999999
-198.80000000000001
-224.40000000000001
-170
-239.09999999999999
-236.5
-233.90000000000001
N
-239.90000000000001
-210
-162
-156.19999999999999
-200.09999999999999
-238.09999999999999
-160.40000000000001
-217.5
-182.40000000000001
-121.8
-191.59999999999999
N
-233.90000000000001
-197.40000000000001
-237.40000000000001
-177.30000000000001
-236
-158.59999999999999
-232.19999999999999
N
-226.09999999999999
-139.30000000000001
N
N
-236.59999999999999
-179.5
-220.30000000000001
-231.30000000000001
N
N
-129.30000000000001
-166.09999999999999
-206.59999999999999
-168.09999999999999
-98.599999999999994
-209.19999999999999
-248.90000000000001
-161.40000000000001
-239
-244.09999999999999
-246.90000000000001
-200.19999999999999
-232
-193.09999999999999
-200.80000000000001
-223.19999999999999
-146.40000000000001
-245.19999999999999
-227.59999999999999
-208.30000000000001
-150.59999999999999
-233.80000000000001
-215.40000000000001
-142.80000000000001
-169.30000000000001
-173.80000000000001
-206.5
N
-188.40000000000001
-168
-226.5
-214.80000000000001
-180.59999999999999
-210.90000000000001
-141.5
-142.90000000000001
-246.19999999999999
-211.30000000000001
-213.09999999999999
-103.90000000000001
-203.90000000000001
-210.59999999999999
-204.30000000000001
-161.40000000000001
-223
-239.19999999999999
-177.90000000000001
-221.40000000000001
-201.69999999999999
-238.09999999999999
-198.19999999999999
N
-227.19999999999999
-153
-216.59999999999999
-155.90000000000001
N
-222.5
-165.19999999999999
-161.59999999999999
-193.80000000000001
-206.59999999999999
-118.2
-182.69999999999999
-151.19999999999999
-168.5
-150.30000000000001
-185.19999999999999
-143.40000000000001
-155.59999999999999
-130.80000000000001
-128
-147
-143.5
-170.19999999999999
-215.09999999999999
-216
-131.59999999999999
N
-205.30000000000001
-201.80000000000001
-206.40000000000001
N
-154.5
-205.80000000000001
-170.69999999999999
-192.30000000000001
-206.80000000000001
-229.40000000000001
-139.80000000000001
-149.80000000000001
-242.09999999999999
-248.40000000000001
-239.19999999999999
-159.69999999999999
-178
-184
-179.90000000000001
-199.90000000000001
-128
-232.90000000000001
-146.5
-214.09999999999999
N
-234.30000000000001
-196.80000000000001
-208.69999999999999
-230.5
-243.30000000000001
-133.09999999999999
-134.69999999999999
-227.69999999999999
-207.59999999999999
-207.69999999999999
-236
N
-147.59999999999999
-184.5
-246.40000000000001
-206.80000000000001
-195.69999999999999
-120.40000000000001
-136.69999999999999
-141.5
-130.5
-197.69999999999999
-238.90000000000001
-208.69999999999999
-148.80000000000001
-154.30000000000001
-215.5
-244.09999999999999
-145
-170.40000000000001
N
N
N
-185.59999999999999
-210.80000000000001
N
-139.59999999999999
N
-151
-150.30000000000001
-117.40000000000001
-230.5
-213.40000000000001
-181.59999999999999
-169.09999999999999
-177.59999999999999
-124.8
-212.19999999999999
-127.2
N
N
-188.80000000000001
-205
-182.69999999999999
-177.40000000000001
-128.80000000000001
-217.30000000000001
N
-211.80000000000001
-181
-220
-166.80000000000001
-247
-236.59999999999999
-236.19999999999999
-209.90000000000001
-188.90000000000001
-201.30000000000001
-210.40000000000001
-235.30000000000001
-175.09999999999999
N
-222
-200.69999999999999
-123.3
-160.90000000000001
-138.40000000000001
N
-227.5
N
N
-163.09999999999999
-205.19999999999999
-190.80000000000001
N
-180.09999999999999
-215.19999999999999
-128.80000000000001
-145
-241.59999999999999
-182.5
-177.40000000000001
-143.30000000000001
-242.19999999999999
-247.80000000000001
-164.59999999999999
-207.59999999999999
-243.30000000000001
-168
-234.5
-189.5
-156.30000000000001
-191.5
-171.19999999999999
-221.80000000000001
-158.80000000000001
-177.5
-105
-196.19999999999999
-150.30000000000001
-107.7
-215.90000000000001
-139.69999999999999
N
-229
N
-144.69999999999999
-222.09999999999999
-163
-201.90000000000001
-176.59999999999999
-234.30000000000001
-152.40000000000001
-163.90000000000001
-125
-138.09999999999999
N
-183.80000000000001
-181.80000000000001
-235.09999999999999
N
N
-173
N
N
-198.5
-138.59999999999999
-226.09999999999999
-172.69999999999999
-194.40000000000001
-183
-222.80000000000001
-217.69999999999999
-128.30000000000001
-179.09999999999999
-139.5
-247.40000000000001
-193.59999999999999
N
N
N
-199.40000000000001
-200.59999999999999
-172.59999999999999
-195.30000000000001
-206
-157.09999999999999
-140.69999999999999
-151.90000000000001
-140.40000000000001
-157.90000000000001
-168.80000000000001
-220.90000000000001
-202.80000000000001
-217.5
N
-234
N
N
N
N
-157.59999999999999
-159.30000000000001
-226.69999999999999
N
-160.5
-194.90000000000001
-129.09999999999999
-221.80000000000001
-191
-203
-116.59999999999999
N
-147.90000000000001
-210.19999999999999
-213.19999999999999
-104.59999999999999
-148.30000000000001
-200.59999999999999
-168.19999999999999
-170.80000000000001
-232.69999999999999
-217.19999999999999
-166.80000000000001
-140.80000000000001
-141.69999999999999
-157.90000000000001
-181.30000000000001
-188
-233.5
-203.59999999999999
N
-199.90000000000001
-174.30000000000001
-188.69999999999999
-131.30000000000001
-116.8
-175.30000000000001
-233
-222.69999999999999
-218.19999999999999
-213.80000000000001
-229.90000000000001
-248.59999999999999
-206.5
-217.59999999999999
-138.09999999999999
N
-228.40000000000001
-209
-138
-210.09999999999999
-174.59999999999999
-202.40000000000001
-141.69999999999999
N
-188.80000000000001
-223.09999999999999
-147.59999999999999
-223.80000000000001
-228.09999999999999
-194.80000000000001
-164.59999999999999
-169
-197.09999999999999
-156.19999999999999
-220.59999999999999
-120.90000000000001
-240.5
-239.59999999999999
-139.80000000000001
-212
-232.69999999999999
-236.30000000000001
-107.09999999999999
-143.80000000000001
-131.80000000000001
-144.90000000000001
-214
-210.59999999999999
-114.8
-156
-210.5
-189.19999999999999
-214.19999999999999
-107.90000000000001
-153
-179.80000000000001
-174.5
-206.80000000000001
-169.5
-104.59999999999999
-124
-216.5
-163.19999999999999
-207.30000000000001
-142
-128.80000000000001
-140.80000000000001
-149.5
-157.80000000000001
-154.90000000000001
-180.69999999999999
-84.099999999999994
-97.799999999999997
-92.099999999999994
-97.5
-130.09999999999999
-70.700000000000003
-12.199999999999999
-81.900000000000006
-17
-47.299999999999997
-148.80000000000001
-6.4000000000000004
-35.399999999999999
-104.7
-10.5
-100.59999999999999
-58.200000000000003
-89.5
-65
-85.200000000000003
-77.099999999999994
-15.800000000000001
-14.1
-36.899999999999999
-81.900000000000006
-235.80000000000001
-45.100000000000001
-21.5
-31.300000000000001
-80.299999999999997
-75.799999999999997
-99.099999999999994
-82.599999999999994
-63.299999999999997
-31
-26.5
-107.2
-38.799999999999997
-115.2
-85.900000000000006
-33
-54.100000000000001
-18.800000000000001
-87.400000000000006
-19.300000000000001
-54.200000000000003
-39.700000000000003
-21.600000000000001
-9.0999999999999996
-63.899999999999999
-98.299999999999997
-35
-51.700000000000003
-80.5
-40.299999999999997
-57.700000000000003
-106.40000000000001
-31
-97.099999999999994
-80
-83.400000000000006
-115.59999999999999
-115.90000000000001
-89.400000000000006
-47.600000000000001
-32.200000000000003
-71.5
-95.200000000000003
-32
-115
-74.5
-25.899999999999999
-81.5
-115.5
-95.900000000000006
-81.700000000000003
-106.8
-53.399999999999999
-108
-35
-90.900000000000006
-125.90000000000001
-106
-4
-112.09999999999999
-103.3
-90.799999999999997
-16.800000000000001
-108
-104.2
-87.900000000000006
-102.09999999999999
-19.199999999999999
-29.699999999999999
-75.599999999999994
-31.100000000000001
-6
-40.200000000000003
-122.7
-19.300000000000001
-30
-102.3
-120.90000000000001
-73.900000000000006
-68.599999999999994
-70.700000000000003
-55.100000000000001
-61.299999999999997
-3.2999999999999998
-109.90000000000001
-105
-93.5
-5.2999999999999998
-83.400000000000006
-85.900000000000006
-3.6000000000000001
-28.100000000000001
-31.800000000000001
-102.09999999999999
-101.5
-54.200000000000003
-36.399999999999999
-81.5
-57.399999999999999
-59.100000000000001
-73.200000000000003
-6.2000000000000002
-18.5
-104.7
-99.900000000000006
-35.899999999999999
-12.1
-56
-73.200000000000003
-70.799999999999997
-33.399999999999999
-94.299999999999997
-94.299999999999997
-26.600000000000001
-83.200000000000003
-79.400000000000006
-78.5
-64.900000000000006
-161.19999999999999
-99.299999999999997
-20.399999999999999
-82.200000000000003
-24.399999999999999
-118.90000000000001
-103.2
-28.600000000000001
-19.699999999999999
-40.600000000000001
-71.400000000000006
-7.5999999999999996
-55.399999999999999
-28.5
-38.899999999999999
-22.899999999999999
-58.600000000000001
-33.700000000000003
-41.5
-33.100000000000001
-26.899999999999999
-38.100000000000001
-21
-60.200000000000003
-91.299999999999997
-91.799999999999997
-41.299999999999997
-89.799999999999997
-87.200000000000003
-77.900000000000006
-92
-91.400000000000006
-37.799999999999997
-70.700000000000003
-19.800000000000001
-80.799999999999997
-60.299999999999997
-101.3
-11.6
-45.399999999999999
-106
-97.400000000000006
-89.5
-23.300000000000001
-52.799999999999997
-62.200000000000003
-9.0999999999999996
-104.40000000000001
-3.8999999999999999
-103.59999999999999
-2.8999999999999999
-100.40000000000001
-128
-111.59999999999999
-67.900000000000006
-71.099999999999994
-92.200000000000003
-109.3
-0.10000000000000001
-5.0999999999999996
-96.200000000000003
-64.200000000000003
-72.799999999999997
-84.5
-127.3
-17.699999999999999
-42.100000000000001
-99.5
-76.900000000000006
-55.799999999999997
-14.800000000000001
-17.600000000000001
-19.5
-21.199999999999999
-81.299999999999997
-74.700000000000003
-20.100000000000001
-29.5
-21.399999999999999
-81.299999999999997
-125
-43.299999999999997
-23.5
-13.6
-41.700000000000003
-101.40000000000001
-58.399999999999999
-46.600000000000001
-210.40000000000001
-3
-111.90000000000001
-8
-14.199999999999999
-16.600000000000001
-106.59999999999999
-108.90000000000001
-73.099999999999994
-71.200000000000003
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-87
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-7.5
-85
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-84
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-8.6999999999999993
-8.5
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-138.90000000000001
-15.9
-3
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-91
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-90
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-97.200000000000003
-127
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-6
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-99
-1.6000000000000001
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-44.100000000000001
-89.400000000000006
-97.5
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-59.200000000000003
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-117.8
-95.900000000000006
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-12.9
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-106.59999999999999
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-78.400000000000006
-103
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-44
-83
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-208.30000000000001
-16.800000000000001
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-65.400000000000006
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-1.3
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-121.40000000000001
-7.2999999999999998
-66.200000000000003
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-9.0999999999999996
-30.399999999999999
-26.5
-0.90000000000000002
-81.799999999999997
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-18.399999999999999
-14
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-72
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-16
-38
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-108.90000000000001
-79.700000000000003
-2.3999999999999999
-6.7999999999999998
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-21.800000000000001
-33.100000000000001
-38.700000000000003
-40.299999999999997
-53.299999999999997
-50.799999999999997
-70.900000000000006
18.5
25.800000000000001
27.800000000000001
27
25.800000000000001
62.100000000000001
76.799999999999997
27.5
76.099999999999994
74.400000000000006
11.4
137.09999999999999
80.900000000000006
20.199999999999999
70
16.800000000000001
29.100000000000001
26.399999999999999
27.300000000000001
27.100000000000001
27.600000000000001
83
78.099999999999994
29.699999999999999
29.100000000000001
6
84
73.400000000000006
29.199999999999999
23.899999999999999
27.5
23.800000000000001
26.300000000000001
27.600000000000001
73.5
72.599999999999994
24.699999999999999
69.099999999999994
14.300000000000001
27.600000000000001
72
74
28.199999999999999
27.199999999999999
74
84.200000000000003
76
73.700000000000003
79.200000000000003
64.599999999999994
27.100000000000001
71.5
29.100000000000001
27.5
70.200000000000003
67.299999999999997
19.199999999999999
79.200000000000003
27.399999999999999
27.199999999999999
30.100000000000001
26.300000000000001
26.600000000000001
14.199999999999999
28.199999999999999
68.400000000000006
29
29.199999999999999
73.799999999999997
18.399999999999999
27.399999999999999
74.200000000000003
26.100000000000001
27.100000000000001
26.100000000000001
29.300000000000001
25.699999999999999
71.099999999999994
20.800000000000001
70.900000000000006
20.800000000000001
82.700000000000003
26.399999999999999
85.099999999999994
24.800000000000001
27.600000000000001
29
78.099999999999994
26.300000000000001
27.5
29.699999999999999
17.399999999999999
79.299999999999997
75.900000000000006
28.199999999999999
65.599999999999994
119
82.099999999999994
10.300000000000001
102.40000000000001
72.900000000000006
25.899999999999999
5.7999999999999998
27.699999999999999
51.200000000000003
52.299999999999997
71.799999999999997
69.799999999999997
104.8
15.300000000000001
14.5
32.399999999999999
120.2
27.5
27.300000000000001
85.900000000000006
73
70.900000000000006
18.100000000000001
26
75
77.700000000000003
27.600000000000001
67.200000000000003
67.799999999999997
28.199999999999999
76.599999999999994
83.400000000000006
25.899999999999999
26.399999999999999
71.599999999999994
65.799999999999997
29.699999999999999
26.5
29.399999999999999
67.700000000000003
27.5
26.5
79.5
27.600000000000001
55
26.300000000000001
29
18.100000000000001
27.5
74.400000000000006
29
75.599999999999994
15.9
19.800000000000001
74.799999999999997
71.700000000000003
71.400000000000006
29.600000000000001
73.799999999999997
29.399999999999999
67.799999999999997
73.799999999999997
68.799999999999997
59.799999999999997
66.599999999999994
74.900000000000006
70
72.200000000000003
69.099999999999994
72.400000000000006
29.399999999999999
27.600000000000001
24.399999999999999
30.100000000000001
22.699999999999999
27.600000000000001
26.399999999999999
21.5
8.1999999999999993
70.299999999999997
66.400000000000006
70.799999999999997
15.4
29.800000000000001
27.600000000000001
81.200000000000003
69.099999999999994
21.899999999999999
26.300000000000001
27.100000000000001
69.599999999999994
29
65
107.59999999999999
25.600000000000001
83.400000000000006
21.600000000000001
113.7
8.0999999999999996
10.800000000000001
3.6000000000000001
29.399999999999999
28.899999999999999
27.699999999999999
13.300000000000001
114.59999999999999
81.799999999999997
26.300000000000001
31.600000000000001
27.800000000000001
27.600000000000001
14.5
124.8
69.700000000000003
27
27.800000000000001
77.200000000000003
72.200000000000003
75.900000000000006
78.5
67.299999999999997
25.899999999999999
66.599999999999994
73.599999999999994
69.5
92.299999999999997
68.5
84.400000000000006
25.800000000000001
70.400000000000006
96.200000000000003
72.200000000000003
27.699999999999999
69.200000000000003
29.800000000000001
11.300000000000001
83.400000000000006
27.300000000000001
79.700000000000003
82.799999999999997
78
26.199999999999999
19.199999999999999
10.5
24.600000000000001
26.199999999999999
87
11.6
103
9.5
27.699999999999999
27.699999999999999
28
27.800000000000001
56.700000000000003
76.700000000000003
26.899999999999999
6.0999999999999996
11.9
27.800000000000001
8.3000000000000007
72.700000000000003
15.300000000000001
10.199999999999999
12.6
26.300000000000001
28.5
72.799999999999997
28
11.6
64.700000000000003
28
2.6000000000000001
24.600000000000001
70.200000000000003
69.599999999999994
73
71.099999999999994
27.699999999999999
27.899999999999999
27.600000000000001
66
12.1
28.100000000000001
10.1
65.299999999999997
64.599999999999994
75.900000000000006
91.799999999999997
27.300000000000001
28.199999999999999
63.200000000000003
141
29
28.300000000000001
26.199999999999999
2.7999999999999998
62.399999999999999
73.799999999999997
27.5
59.700000000000003
73
27.800000000000001
28.399999999999999
27.800000000000001
73.599999999999994
117.90000000000001
76.299999999999997
4.2999999999999998
68.900000000000006
92.700000000000003
19.399999999999999
81
28.300000000000001
19.5
5.5999999999999996
67
26.600000000000001
74
22.699999999999999
47.799999999999997
25
70.400000000000006
56.299999999999997
108
63.100000000000001
6
130
84.200000000000003
27.899999999999999
84.200000000000003
21
81.299999999999997
14.800000000000001
9.4000000000000004
115.59999999999999
133.5
30
29.199999999999999
64.599999999999994
79.099999999999994
24.600000000000001
27.5
73.700000000000003
28
82.799999999999997
26.199999999999999
64.900000000000006
27.600000000000001
16.100000000000001
19.300000000000001
27.600000000000001
197.80000000000001
65.900000000000006
26.199999999999999
80.400000000000006
60.799999999999997
76.599999999999994
69.099999999999994
64.5
55.299999999999997
46.5
10
30
29.800000000000001
27.100000000000001
29.699999999999999
28
26.5
70.400000000000006
9.5999999999999996
126.3
81.400000000000006
66.799999999999997
69.799999999999997
72.299999999999997
68.799999999999997
66.299999999999997
17.300000000000001
27.300000000000001
1.7
65.799999999999997
70.200000000000003
60.899999999999999
3.6000000000000001
15.5
104.7
32.299999999999997
77.299999999999997
66.200000000000003
61.700000000000003
8.9000000000000004
17
52
28
69.599999999999994
59.100000000000001
61.5
24.100000000000001
2.7000000000000002
14.6
7.2000000000000002
6.5
28.300000000000001
73.900000000000006
73.599999999999994
72
86.299999999999997
11.5
24.100000000000001
27.600000000000001
21
16.899999999999999
25.699999999999999
27
14.300000000000001
76.700000000000003
11.6
6.4000000000000004
10.699999999999999
73
70.599999999999994
74.099999999999994
26.5
87.900000000000006
3.1000000000000001
109.2
1
67.200000000000003
27.699999999999999
28.100000000000001
69.799999999999997
26.399999999999999
67.700000000000003
22.100000000000001
63.299999999999997
9.6999999999999993
99.5
26.100000000000001
2.8999999999999999
121
50.399999999999999
18.399999999999999
5.0999999999999996
95.099999999999994
75.799999999999997
64.700000000000003
105.3
66.099999999999994
16.699999999999999
65.299999999999997
113.7
N
56.799999999999997
5.5
101.7
61.299999999999997
56
73.299999999999997
3.7000000000000002
27.899999999999999
84.299999999999997
95.700000000000003
27.800000000000001
69.5
9.5999999999999996
69.799999999999997
68.799999999999997
58.100000000000001
62.799999999999997
28.300000000000001
28.100000000000001
33.700000000000003
N
134.69999999999999
177.09999999999999
150.30000000000001
160
197.5
202.80000000000001
144.5
222.40000000000001
208.90000000000001
137.69999999999999
N
229.5
140.19999999999999
202.59999999999999
145.09999999999999
184.40000000000001
142.69999999999999
171.09999999999999
N
151.5
215.5
205.69999999999999
149.80000000000001
172.19999999999999
144.40000000000001
227.30000000000001
210.59999999999999
143.09999999999999
115.8
165.19999999999999
136.30000000000001
160.5
136.80000000000001
187.80000000000001
N
158.5
207.69999999999999
141.09999999999999
164
236.90000000000001
229.40000000000001
81.400000000000006
165.80000000000001
207.80000000000001
210.90000000000001
227
224.69999999999999
214.19999999999999
190.59999999999999
132.19999999999999
221.80000000000001
140.5
155.30000000000001
186.30000000000001
218.30000000000001
125.40000000000001
209.69999999999999
169.59999999999999
152.19999999999999
190.90000000000001
146.40000000000001
175.80000000000001
130.30000000000001
149.59999999999999
202.90000000000001
172.69999999999999
181.80000000000001
209.80000000000001
144.30000000000001
144.69999999999999
224.30000000000001
132.19999999999999
182.19999999999999
150.80000000000001
224.09999999999999
141.5
193.30000000000001
116.7
192.80000000000001
102.8
210.59999999999999
95.799999999999997
N
96.200000000000003
152.40000000000001
N
N
138.40000000000001
138.80000000000001
165.59999999999999
194.30000000000001
N
N
195.30000000000001
236.19999999999999
N
N
122.7
232.09999999999999
224.19999999999999
149.40000000000001
130.80000000000001
152.40000000000001
177.69999999999999
204.5
213.80000000000001
204.80000000000001
230.5
130.09999999999999
130.90000000000001
140.5
N
139.90000000000001
137.30000000000001
224.59999999999999
195.80000000000001
215.69999999999999
115.09999999999999
165.19999999999999
189.59999999999999
209.30000000000001
192.90000000000001
214.80000000000001
188.69999999999999
182.19999999999999
222.69999999999999
221.69999999999999
136.80000000000001
131.90000000000001
207.30000000000001
211
143.69999999999999
130.80000000000001
246.09999999999999
200.90000000000001
134.69999999999999
149.80000000000001
220.5
144.09999999999999
159.90000000000001
128
137.09999999999999
136.09999999999999
125.3
217.80000000000001
118.7
180
137.09999999999999
178.80000000000001
181.59999999999999
206.90000000000001
194.69999999999999
175.59999999999999
206.90000000000001
135
171
191.59999999999999
193.90000000000001
148.40000000000001
174.19999999999999
186.09999999999999
153.19999999999999
155
168.30000000000001
175.19999999999999
131.80000000000001
140.80000000000001
126.3
135.30000000000001
127.7
117.40000000000001
137.80000000000001
119.40000000000001
135.19999999999999
194.5
193.59999999999999
187.69999999999999
120
144.40000000000001
154.90000000000001
175.5
190
120
144.69999999999999
153
202.59999999999999
137.30000000000001
191.19999999999999
N
126.09999999999999
N
121.40000000000001
241.90000000000001
108.2
88.700000000000003
134.19999999999999
218.59999999999999
147
136.69999999999999
146.5
237.19999999999999
N
142.59999999999999
207
145
141.59999999999999
81.299999999999997
248.69999999999999
205.19999999999999
153.30000000000001
146.40000000000001
207.40000000000001
182.09999999999999
188
190.5
145.59999999999999
140.90000000000001
189.5
209.69999999999999
154.59999999999999
228.09999999999999
205.30000000000001
197
114.8
210.40000000000001
215.30000000000001
192.90000000000001
153.19999999999999
192.19999999999999
151
166
208.80000000000001
134.30000000000001
219.09999999999999
202.90000000000001
193.80000000000001
141.19999999999999
117.90000000000001
100.2
111.5
139
199.69999999999999
107.3
181.30000000000001
110.59999999999999
144.19999999999999
139.19999999999999
142.59999999999999
129.40000000000001
166.90000000000001
199.80000000000001
127.7
104
111.90000000000001
138.09999999999999
121.59999999999999
188.40000000000001
126.90000000000001
124.3
127.8
130.09999999999999
170.59999999999999
205.5
133.19999999999999
108.5
181
161.09999999999999
81.900000000000006
121.3
149.40000000000001
153.30000000000001
184.40000000000001
223.40000000000001
145.80000000000001
188.5
155.69999999999999
206.09999999999999
95.700000000000003
128.19999999999999
81.5
184.80000000000001
200.69999999999999
189
231
138.80000000000001
137.09999999999999
189.90000000000001
N
198.5
194.69999999999999
126.59999999999999
84.900000000000006
193.30000000000001
183.90000000000001
133.19999999999999
140.69999999999999
146.80000000000001
137.59999999999999
141.80000000000001
130.09999999999999
199.80000000000001
223.19999999999999
178.80000000000001
84.200000000000003
172.30000000000001
211.5
103.3
211.80000000000001
N
137
132.90000000000001
152.69999999999999
140
204.19999999999999
138.40000000000001
160.59999999999999
114.7
182.19999999999999
146.09999999999999
220.90000000000001
178.30000000000001
109.7
N
216.59999999999999
152.40000000000001
219.59999999999999
130.30000000000001
213.59999999999999
119.3
121.90000000000001
233.5
N
165.40000000000001
144.5
135.90000000000001
241.80000000000001
112.09999999999999
144.59999999999999
189.90000000000001
155.5
215.59999999999999
122.7
170.19999999999999
142.69999999999999
142.40000000000001
117.59999999999999
137.09999999999999
N
134.90000000000001
133.5
192
157.90000000000001
159.09999999999999
166.59999999999999
149.69999999999999
180.40000000000001
164.19999999999999
78.700000000000003
146.69999999999999
172.40000000000001
186.30000000000001
219.5
164
152.80000000000001
187.40000000000001
136.5
N
N
229.19999999999999
223
201.5
184.40000000000001
166.80000000000001
111
130.90000000000001
101.5
167.59999999999999
173.80000000000001
147.69999999999999
103.09999999999999
93.400000000000006
229.5
133
170.30000000000001
169.5
183.90000000000001
108
128.59999999999999
135.30000000000001
114.3
153.30000000000001
163
141.09999999999999
122.3
109.40000000000001
133.69999999999999
126.90000000000001
91.200000000000003
131.90000000000001
194.69999999999999
192.59999999999999
160.09999999999999
195.59999999999999
115.90000000000001
134.19999999999999
138.69999999999999
127.3
130.90000000000001
143.90000000000001
140.59999999999999
137.19999999999999
179.69999999999999
124.8
122.7
121.90000000000001
194.19999999999999
185.59999999999999
194.59999999999999
122.59999999999999
207.19999999999999
109.09999999999999
218.80000000000001
108.90000000000001
152.69999999999999
142.90000000000001
166.5
169.90000000000001
116.09999999999999
190.30000000000001
124.59999999999999
182.80000000000001
106.40000000000001
207.59999999999999
142.80000000000001
124.90000000000001
N
178.19999999999999
127.5
109
198.59999999999999
196.59999999999999
177.19999999999999
230.90000000000001
191.30000000000001
125.5
171.59999999999999
249.30000000000001
N
133.80000000000001
75.599999999999994
186
144.40000000000001
157.5
179.69999999999999
102.09999999999999
129.40000000000001
204.69999999999999
196
138.90000000000001
173.90000000000001
104.09999999999999
148.69999999999999
177.09999999999999
186.30000000000001
139.69999999999999
122.90000000000001
119.90000000000001
114.8
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
222.69999999999999
N
242.5
N
N
N
N
N
N
N
N
N
N
237.90000000000001
N
N
N
N
N
N
N
243
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
234.69999999999999
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
248.90000000000001
N
N
N
248.69999999999999
N
N
N
N
N
N
N
241.5
N
N
249.09999999999999
N
N
N
N
N
N
N
N
N
N
244.19999999999999
N
N
N
N
N
N
N
N
N
N
N
N
238.80000000000001
248.09999999999999
N
238.19999999999999
238.59999999999999
234.40000000000001
N
N
N
N
244.09999999999999
N
N
N
N
N
N
N
N
N
N
N
249
N
N
N
N
245.19999999999999
N
N
N
N
N
N
N
241.80000000000001
N
N
N
212.80000000000001
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
223.69999999999999
N
N
N
N
N
N
N
N
N
N
N
N
N
235.59999999999999
190.5
224.5
218.69999999999999
N
214.5
N
244.30000000000001
N
N
N
234.09999999999999
N
N
242.19999999999999
208.5
229.19999999999999
N
232.80000000000001
N
240.59999999999999
248.40000000000001
230.09999999999999
N
N
N
242
197.09999999999999
N
N
190.80000000000001
229.19999999999999
N
N
N
N
N
N
N
N
224.80000000000001
N
221.90000000000001
N
N
N
N
N
N
N
N
N
N
243.59999999999999
207.09999999999999
N
N
N
N
N
246
248.40000000000001
N
N
N
N
183.40000000000001
N
N
224.19999999999999
N
N
N
N
N
N
N
247.5
N
229.30000000000001
N
N
N
N
222.80000000000001
N
N
N
N
N
N
N
N
N
N
N
N
N
N
234.40000000000001
N
N
N
N
247.40000000000001
N
N
N
N
246.90000000000001
N
242.5
N
N
N
N
N
N
N
N
185.80000000000001
N
N
N
N
N
N
N
N
N
N
N
N
N
N
N
207.40000000000001
236.80000000000001
208.09999999999999
N
N
N
218.5
196.40000000000001
N
243
N
N
N
235.80000000000001
245.59999999999999
N
222.90000000000001
N
N
N
243.19999999999999
220.80000000000001
229.80000000000001
N
205.40000000000001
N
N
N
N
N
249.09999999999999
248.19999999999999
N
N
247.5
N
N
N
N
N
N
237.30000000000001
N
N
N
239
N
N
N
231
N
N
N
N
196.69999999999999
N
236.09999999999999
N
227.90000000000001
N
N
N
N
N
N
212
N
N
N
N
N
239.69999999999999
249.69999999999999
N
N
246.69999999999999
154.30000000000001
N
245.90000000000001
N
N
210.30000000000001
242.80000000000001
N
N
N
N
218
N
N
N
242.5
227.59999999999999
201.09999999999999
222.5
.Dim
integer
2
469
6
nuclear
structure
3
.Data
list
11
cost
numeric
32
460.05000000000001
452.99000000000001
443.22000000000003
652.32000000000005
642.23000000000002
345.38999999999999
272.37
317.20999999999998
457.12
690.19000000000005
350.63
402.58999999999997
412.18000000000001
495.57999999999998
394.36000000000001
423.31999999999999
712.26999999999998
289.66000000000003
881.24000000000001
490.88
567.78999999999996
665.99000000000001
621.45000000000005
608.79999999999995
473.63999999999999
697.13999999999999
207.50999999999999
288.48000000000002
284.88
280.36000000000001
217.38
270.70999999999998
date
numeric
32
68.579999999999998
67.329999999999998
67.329999999999998
68
68
67.920000000000002
68.170000000000002
68.420000000000002
68.420000000000002
68.329999999999998
68.579999999999998
68.75
68.420000000000002
68.920000000000002
68.920000000000002
68.420000000000002
69.5
68.420000000000002
69.170000000000002
68.920000000000002
68.75
70.920000000000002
69.670000000000002
70.079999999999998
70.420000000000002
71.079999999999998
67.25
67.170000000000002
67.829999999999998
67.829999999999998
67.25
67.829999999999998
t1
numeric
32
14
10
10
11
11
13
12
14
15
12
12
13
15
17
13
11
18
15
15
16
11
22
16
19
19
20
13
9
12
12
13
7
t2
numeric
32
46
73
85
67
78
51
50
59
55
71
64
47
62
52
65
67
60
76
67
59
70
57
59
58
44
57
63
48
63
71
72
80
cap
numeric
32
687
1065
1065
1065
1065
514
822
457
822
792
560
790
530
1050
850
778
845
530
1090
1050
913
828
786
821
538
1130
745
821
886
886
745
886
pr
numeric
32
0
0
1
0
1
0
0
0
1
0
0
0
0
0
0
0
0
1
0
1
0
1
0
1
0
0
0
0
0
1
1
1
ne
numeric
32
1
0
0
1
1
1
0
0
0
1
0
1
0
0
0
0
1
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
ct
numeric
32
0
1
1
1
1
1
0
0
0
1
0
0
1
0
0
0
0
1
0
0
1
0
1
0
1
1
0
1
0
0
0
0
bw
numeric
32
0
0
0
0
0
0
0
0
0
1
0
0
0
0
1
0
0
0
0
0
1
0
0
0
0
0
0
0
1
1
0
1
cum.n
numeric
32
14
1
1
12
12
3
5
1
5
2
3
6
2
7
16
3
17
2
1
8
15
20
18
3
19
21
8
7
11
11
8
11
pt
numeric
32
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
1
1
1
row.names
character
32
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
class
character
1
data.frame
rock
structure
3
.Data
list
4
area
numeric
48
4990
7002
7558
7352
7943
7979
9333
8209
8393
6425
9364
8624
10651
8868
9417
8874
10962
10743
11878
9867
7838
11876
12212
8233
6360
4193
7416
5246
6509
4895
6775
7894
5980
5318
7392
7894
3469
1468
3524
5267
5048
1016
5605
8793
3475
1651
5514
9718
peri
numeric
48
2791.8980000000001
3892.5983999999999
3930.6583000000001
3869.319
3948.5443
4010.1545000000001
4345.7487000000001
4344.7458999999999
3682.0425
3098.6518000000001
4480.0514999999996
3986.2422000000001
4036.5441000000001
3518.0356999999999
3999.3683000000001
3629.0733
4608.6599999999999
4787.6205
4864.2236999999996
4479.4076999999997
3428.7447000000002
4353.1387999999997
4697.6499000000003
3518.4405000000002
1977.3856000000001
1379.3489999999999
1916.2403999999999
1585.4186999999999
1851.2140999999999
1239.6550999999999
1728.1378
1461.0582999999999
1426.7574
990.38819999999998
1350.7629999999999
1461.0582999999999
1376.7013999999999
476.322
1189.4594
1644.9558
941.54290000000003
308.642
1145.6881000000001
2280.489
1174.1141
597.80809999999997
1455.8751
1485.5799999999999
shape
numeric
48
0.090329629999999994
0.14862239999999999
0.18331184
0.11706328000000001
0.12241680000000001
0.16704479
0.18965109999999999
0.1641271
0.20365393000000001
0.16239442000000001
0.15094360000000001
0.14814131999999999
0.22859468999999999
0.23162315
0.17256742
0.15348107999999999
0.20431416999999999
0.26272664000000001
0.20007106
0.14480992000000001
0.11385190000000001
0.29102946000000002
0.24007729
0.16186492
0.28088685000000002
0.17945460999999999
0.19180201999999999
0.13308318
0.22521446000000001
0.34127298
0.31164615000000001
0.27601553000000001
0.19765327999999999
0.32663546999999998
0.15419248999999999
0.27601553000000001
0.17696851
0.4387123
0.16358624999999999
0.25383179
0.32864058000000002
0.23008103999999999
0.46412508000000002
0.42047670999999998
0.20074355999999999
0.26265105999999999
0.18245258
0.2004465
perm
numeric
48
6.2999999999999998
6.2999999999999998
6.2999999999999998
6.2999999999999998
17.100000000000001
17.100000000000001
17.100000000000001
17.100000000000001
119
119
119
119
82.400000000000006
82.400000000000006
82.400000000000006
82.400000000000006
58.600000000000001
58.600000000000001
58.600000000000001
58.600000000000001
142
142
142
142
740
740
740
740
890
890
890
890
950
950
950
950
100
100
100
100
1300
1300
1300
1300
580
580
580
580
row.names
character
48
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
class
character
1
data.frame
salinity
structure
3
.Data
list
4
sal
numeric
28
7.5999999999999996
7.7000000000000002
4.2999999999999998
5.9000000000000004
5
6.5
8.3000000000000007
8.1999999999999993
13.199999999999999
12.6
10.4
10.800000000000001
13.1
12.300000000000001
10.4
10.5
7.7000000000000002
9.5
12
12.6
13.6
14.1
13.5
11.5
12
13
14.1
15.1
lag
numeric
28
8.1999999999999993
7.5999999999999996
4.5999999999999996
4.2999999999999998
5.9000000000000004
5
6.5
8.3000000000000007
10.1
13.199999999999999
12.6
10.4
10.800000000000001
13.1
13.300000000000001
10.4
10.5
7.7000000000000002
10
12
12.1
13.6
15
13.5
11.5
12
13
14.1
trend
numeric
28
4
5
0
1
2
3
4
5
0
1
2
3
4
5
0
1
2
3
0
1
4
5
0
1
2
3
4
5
dis
numeric
28
23.010000000000002
22.870000000000001
26.420000000000002
24.870000000000001
29.899999999999999
24.199999999999999
23.219999999999999
22.859999999999999
22.27
23.829999999999998
25.140000000000001
22.43
21.789999999999999
22.379999999999999
23.93
33.439999999999998
24.859999999999999
22.690000000000001
21.789999999999999
22.039999999999999
21.030000000000001
21.010000000000002
25.870000000000001
26.289999999999999
22.93
21.309999999999999
20.77
21.390000000000001
row.names
character
28
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
class
character
1
data.frame
sunspot
structure
2
.Data
numeric
37
40
115
100
80
60
40
23
10
10
25
75
145
130
130
80
65
20
10
5
10
60
190
180
175
120
50
35
20
10
15
30
60
105
105
105
80
65
.Tsp
numeric
3
1936
1972
1
acme
structure
3
.Data
list
3
month
character
60
1/86
2/86
3/86
4/86
5/86
6/86
7/86
8/86
9/86
10/86
11/86
12/86
1/87
2/87
3/87
4/87
5/87
6/87
7/87
8/87
9/87
10/87
11/87
12/87
1/88
2/88
3/88
4/88
5/88
6/88
7/88
8/88
9/88
10/88
11/88
12/88
1/89
2/89
3/89
4/89
5/89
6/89
7/89
8/89
9/89
10/89
11/89
12/89
1/90
2/90
3/90
4/90
5/90
6/90
7/90
8/90
9/90
10/90
11/90
12/90
market
numeric
60
-0.061134000000000001
0.0082199999999999999
-0.0073810000000000004
-0.067560999999999996
-0.0062379999999999996
-0.044250999999999999
-0.11207
0.030225999999999999
-0.129556
0.0013190000000000001
-0.033679000000000001
-0.072794999999999999
0.073396000000000003
-0.011618
-0.026852000000000001
-0.040356000000000003
-0.047538999999999998
-0.001732
-0.0088990000000000007
-0.020837000000000001
-0.084810999999999998
-0.262077
-0.110167
0.034955
0.012688
-0.0021700000000000001
-0.073462
-0.043418999999999999
-0.054730000000000001
-0.011755
-0.061718000000000002
-0.10170999999999999
-0.032704999999999998
-0.045333999999999999
-0.079287999999999997
-0.036233000000000001
-0.011494000000000001
-0.093729000000000007
-0.065214999999999995
-0.037113
-0.044399000000000001
-0.084412000000000001
0.003444
-0.056759999999999998
-0.078969999999999999
-0.105367
-0.038634000000000002
-0.043261000000000001
-0.13977300000000001
-0.059094000000000001
-0.057736000000000003
-0.102524
0.023880999999999999
-0.079116000000000006
-0.078964999999999994
-0.161359
-0.119376
-0.076008000000000006
-0.0064440000000000001
-0.026401000000000001
acme
numeric
60
0.030159999999999999
-0.16545699999999999
0.080137
-0.109917
-0.114853
-0.099253999999999995
-0.22684599999999999
0.073444999999999996
-0.143064
0.034776000000000001
-0.063375000000000001
-0.058735000000000002
0.050214000000000002
0.111165
-0.12749199999999999
0.054522000000000001
-0.072917999999999997
-0.058978999999999997
0.236147
-0.094778000000000001
-0.13566900000000001
-0.28479599999999999
-0.17149400000000001
0.242616
-0.063518000000000005
-0.117677
0.20167399999999999
-0.147728
-0.17088500000000001
-0.014893
-0.110515
-0.168769
-0.13558500000000001
-0.084076999999999999
-0.16455
0.15026900000000001
-0.015671999999999998
-0.037859999999999998
-0.074712000000000001
-0.10853
-0.036769000000000003
0.023911999999999999
-0.07843
-0.13219900000000001
-0.110141
-0.126302
-0.095729999999999996
0.065740000000000007
-0.120056
-0.085205000000000003
-0.13043299999999999
-0.116728
-0.078038999999999997
-0.170322
-0.077727000000000004
-0.27703499999999998
-0.207595
-0.070514999999999994
-0.046274000000000003
-0.190834
row.names
character
60
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
class
character
1
data.frame
aids
structure
3
.Data
list
6
year
numeric
570
1983
1983
1983
1983
1983
1983
1983
1983
1983
1983
1983
1983
1983
1983
1983
1983
1983
1983
1983
1983
1983
1983
1983
1983
1983
1983
1983
1983
1983
1983
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1984
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1985
1986
1986
1986
1986
1986
1986
1986
1986
1986
1986
1986
1986
1986
1986
1986
1986
1986
1986
1986
1986
1986
1986
1986
1986
1986
1986
1986
1986
1986
1986
1986
1986
1986
1986
1986
1986
1986
1986
1986
1986
1986
1986
1986
1986
1986
1986
1986
1986
1986
1986
1986
1986
1986
1986
1986
1986
1986
1986
1986
1986
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1987
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1988
1989
1989
1989
1989
1989
1989
1989
1989
1989
1989
1989
1989
1989
1989
1989
1989
1989
1989
1989
1989
1989
1989
1989
1989
1989
1989
1989
1989
1989
1989
1989
1989
1989
1989
1989
1989
1989
1989
1989
1989
1989
1989
1989
1989
1989
1989
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1989
1989
1989
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1991
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1992
1992
1992
quarter
numeric
570
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
delay
numeric
570
0
2
5
8
11
14
17
20
23
26
29
32
35
38
41
0
2
5
8
11
14
17
20
23
26
29
32
35
38
41
0
2
5
8
11
14
17
20
23
26
29
32
35
38
41
0
2
5
8
11
14
17
20
23
26
29
32
35
38
41
0
2
5
8
11
14
17
20
23
26
29
32
35
38
41
0
2
5
8
11
14
17
20
23
26
29
32
35
38
41
0
2
5
8
11
14
17
20
23
26
29
32
35
38
41
0
2
5
8
11
14
17
20
23
26
29
32
35
38
41
0
2
5
8
11
14
17
20
23
26
29
32
35
38
41
0
2
5
8
11
14
17
20
23
26
29
32
35
38
41
0
2
5
8
11
14
17
20
23
26
29
32
35
38
41
0
2
5
8
11
14
17
20
23
26
29
32
35
38
41
0
2
5
8
11
14
17
20
23
26
29
32
35
38
41
0
2
5
8
11
14
17
20
23
26
29
32
35
38
41
0
2
5
8
11
14
17
20
23
26
29
32
35
38
41
0
2
5
8
11
14
17
20
23
26
29
32
35
38
41
0
2
5
8
11
14
17
20
23
26
29
32
35
38
41
0
2
5
8
11
14
17
20
23
26
29
32
35
38
41
0
2
5
8
11
14
17
20
23
26
29
32
35
38
41
0
2
5
8
11
14
17
20
23
26
29
32
35
38
41
0
2
5
8
11
14
17
20
23
26
29
32
35
38
41
0
2
5
8
11
14
17
20
23
26
29
32
35
38
41
0
2
5
8
11
14
17
20
23
26
29
32
35
38
41
0
2
5
8
11
14
17
20
23
26
29
32
35
38
41
0
2
5
8
11
14
17
20
23
26
29
32
35
38
41
0
2
5
8
11
14
17
20
23
26
29
32
35
38
41
0
2
5
8
11
14
17
20
23
26
29
32
35
38
41
0
2
5
8
11
14
17
20
23
26
29
32
35
38
41
0
2
5
8
11
14
17
20
23
26
29
32
35
38
41
0
2
5
8
11
14
17
20
23
26
29
32
35
38
41
0
2
5
8
11
14
17
20
23
26
29
32
35
38
41
0
2
5
8
11
14
17
20
23
26
29
32
35
38
41
0
2
5
8
11
14
17
20
23
26
29
32
35
38
41
0
2
5
8
11
14
17
20
23
26
29
32
35
38
41
0
2
5
8
11
14
17
20
23
26
29
32
35
38
41
0
2
5
8
11
14
17
20
23
26
29
32
35
38
41
0
2
5
8
11
14
17
20
23
26
29
32
35
38
41
0
2
5
8
11
14
17
20
23
26
29
32
35
38
41
dud
numeric
570
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
0
0
0
0
0
0
0
0
0
0
0
1
1
1
1
0
0
0
0
0
0
0
0
0
0
1
1
1
1
1
0
0
0
0
0
0
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
1
1
1
1
1
1
1
0
0
0
0
0
0
0
1
1
1
1
1
1
1
1
0
0
0
0
0
0
1
1
1
1
1
1
1
1
1
0
0
0
0
0
1
1
1
1
1
1
1
1
1
1
0
0
0
0
1
1
1
1
1
1
1
1
1
1
1
0
0
0
1
1
1
1
1
1
1
1
1
1
1
1
0
0
1
1
1
1
1
1
1
1
1
1
1
1
1
0
1
1
1
1
1
1
1
1
1
1
1
1
1
1
time
numeric
570
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
13
13
13
13
13
13
13
13
13
13
13
13
13
13
13
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
15
15
15
15
15
15
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15
15
15
15
15
15
15
15
16
16
16
16
16
16
16
16
16
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16
16
16
16
16
17
17
17
17
17
17
17
17
17
17
17
17
17
17
17
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
19
19
19
19
19
19
19
19
19
19
19
19
19
19
19
20
20
20
20
20
20
20
20
20
20
20
20
20
20
20
21
21
21
21
21
21
21
21
21
21
21
21
21
21
21
22
22
22
22
22
22
22
22
22
22
22
22
22
22
22
23
23
23
23
23
23
23
23
23
23
23
23
23
23
23
24
24
24
24
24
24
24
24
24
24
24
24
24
24
24
25
25
25
25
25
25
25
25
25
25
25
25
25
25
25
26
26
26
26
26
26
26
26
26
26
26
26
26
26
26
27
27
27
27
27
27
27
27
27
27
27
27
27
27
27
28
28
28
28
28
28
28
28
28
28
28
28
28
28
28
29
29
29
29
29
29
29
29
29
29
29
29
29
29
29
30
30
30
30
30
30
30
30
30
30
30
30
30
30
30
31
31
31
31
31
31
31
31
31
31
31
31
31
31
31
32
32
32
32
32
32
32
32
32
32
32
32
32
32
32
33
33
33
33
33
33
33
33
33
33
33
33
33
33
33
34
34
34
34
34
34
34
34
34
34
34
34
34
34
34
35
35
35
35
35
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35
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35
35
35
35
35
35
36
36
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36
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36
36
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36
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36
36
36
37
37
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37
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37
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37
37
37
38
38
38
38
38
38
38
38
38
38
38
38
38
38
38
y
numeric
570
2
6
0
1
1
0
0
1
0
0
0
0
0
0
1
2
7
1
1
1
0
0
0
0
0
0
0
0
0
0
4
4
0
1
0
2
0
0
0
0
2
1
0
0
0
0
10
0
1
1
0
0
0
1
1
1
0
0
0
0
6
17
3
1
1
0
0
0
0
0
0
1
0
0
1
5
22
1
5
2
1
0
2
1
0
0
0
0
0
0
4
23
4
5
2
1
3
0
1
2
0
0
0
0
2
11
11
6
1
1
5
0
1
1
1
1
0
0
0
1
9
22
6
2
4
3
3
4
7
1
2
0
0
0
0
2
28
8
8
5
2
2
4
3
0
1
1
0
0
1
5
26
14
6
9
2
5
5
5
1
2
0
0
0
2
7
49
17
11
4
7
5
7
3
1
2
2
0
1
4
13
37
21
9
3
5
7
3
1
3
1
0
0
0
6
12
53
16
21
2
7
0
7
0
0
0
0
0
1
1
21
44
29
11
6
4
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384
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400
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402
403
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407
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411
412
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414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
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438
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440
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462
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468
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480
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482
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486
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488
489
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492
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494
495
496
497
498
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500
501
502
503
504
505
506
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508
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510
511
512
513
514
515
516
517
518
519
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523
524
525
526
527
528
529
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531
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534
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536
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539
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541
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543
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549
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553
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character
1
data.frame
aircondit
structure
3
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list
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3
5
7
18
43
85
91
98
100
130
230
487
row.names
character
12
1
2
3
4
5
6
7
8
9
10
11
12
class
character
1
data.frame
aircondit7
structure
3
.Data
list
1
hours
numeric
24
3
5
5
13
14
15
22
22
23
30
36
39
44
46
50
72
79
88
97
102
139
188
197
210
row.names
character
24
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2
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4
5
6
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9
10
11
12
13
14
15
16
17
18
19
20
21
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class
character
1
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amis
structure
3
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list
4
speed
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26
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40
40
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41
41
41
41
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42
42
42
42
42
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43
43
43
45
46
46
50
50
51
22
22
23
24
24
25
25
25
25
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26
26
26
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27
27
27
27
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27
28
28
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30
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34
34
34
34
34
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34
34
35
35
36
36
36
37
38
38
39
42
42
25
26
27
28
28
28
28
28
28
28
29
29
29
29
29
29
29
29
30
30
30
30
30
30
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31
31
31
31
31
31
31
31
31
32
32
32
32
32
32
33
33
34
34
34
34
34
34
34
34
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36
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38
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40
40
40
40
40
40
41
41
41
42
44
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44
45
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47
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51
52
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24
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25
25
25
26
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27
28
28
28
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28
28
28
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30
30
30
30
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31
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32
32
32
32
32
32
32
32
32
32
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33
33
33
34
34
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34
34
34
34
35
35
35
35
35
36
36
36
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37
37
37
37
38
38
38
38
38
39
39
39
39
40
40
41
42
42
44
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25
26
26
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26
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29
30
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32
32
32
32
32
32
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33
33
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33
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34
34
34
34
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34
34
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35
35
35
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37
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37
38
38
38
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39
39
39
39
39
41
42
43
43
44
45
46
24
24
28
28
28
28
29
29
29
29
29
30
30
30
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30
30
31
31
31
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42
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43
43
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44
44
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26
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32
32
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49
24
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44
44
45
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46
46
50
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28
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33
34
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50
39
35
32
43
37
47
38
35
33
37
40
49
41
42
45
44
39
38
37
47
41
28
44
48
45
31
38
34
35
37
41
58
38
32
31
35
40
42
35
53
48
36
33
44
36
34
33
47
34
34
48
55
39
33
38
32
38
37
42
35
39
46
40
38
31
49
34
29
38
38
35
36
34
41
38
34
37
37
42
39
40
42
37
51
47
33
34
37
31
31
33
39
36
50
37
35
45
41
46
36
40
37
44
34
38
31
36
36
35
34
37
47
43
36
31
38
37
38
34
30
43
34
39
30
37
28
36
39
43
36
38
41
36
32
38
37
36
33
45
48
30
39
37
35
39
55
38
43
38
40
40
37
39
46
35
34
33
39
38
35
32
36
50
39
41
35
41
39
35
33
39
38
35
39
37
42
38
38
42
38
42
41
36
37
40
38
51
37
41
42
36
30
38
35
33
38
42
33
39
31
41
38
35
40
35
42
37
40
40
37
40
38
43
45
46
31
42
41
44
35
30
36
42
32
40
32
40
38
42
36
42
29
39
30
36
44
40
31
36
34
30
34
38
28
33
33
26
33
32
38
34
32
31
37
36
35
44
30
29
31
42
50
39
39
32
42
33
33
34
35
36
41
37
43
40
31
28
34
36
42
32
38
36
28
36
24
32
37
37
37
42
30
48
31
42
40
36
35
32
33
39
39
45
29
37
42
37
33
38
39
30
34
36
33
35
46
49
42
33
41
45
39
44
48
53
34
40
35
38
35
43
39
51
48
32
27
39
49
34
37
42
43
38
51
37
42
36
44
34
24
35
37
34
32
31
42
30
37
44
47
36
47
41
36
47
44
28
38
50
35
29
45
31
43
54
40
41
33
38
36
35
47
41
37
40
32
31
29
33
35
40
37
25
41
34
33
28
47
34
35
35
29
45
39
47
34
38
38
40
47
35
41
42
32
35
34
41
32
36
38
37
40
35
33
38
43
35
35
39
37
32
28
47
33
44
34
38
34
25
39
38
38
30
30
36
36
48
40
32
34
27
34
32
42
30
32
44
31
28
44
37
35
30
40
51
37
35
38
31
27
31
37
43
35
41
37
33
24
47
31
36
35
41
39
46
35
29
32
34
34
44
27
37
33
30
34
39
38
33
47
31
32
39
33
39
33
38
34
35
31
29
30
24
26
37
33
35
28
37
28
32
39
36
42
35
32
38
35
30
36
29
34
39
33
32
39
34
35
38
37
40
39
35
35
39
34
31
35
34
38
35
38
27
30
38
39
37
34
33
39
25
31
32
34
33
33
32
35
34
30
40
27
37
40
35
36
31
32
29
30
31
38
36
37
34
38
34
37
32
36
31
37
47
38
40
31
30
31
31
32
43
30
29
40
32
31
39
42
39
40
30
33
37
33
22
34
34
43
30
36
39
30
28
32
33
41
38
35
33
33
40
36
33
42
34
32
39
29
31
32
32
36
33
39
50
32
36
29
35
41
33
47
37
33
27
37
35
45
36
33
37
43
37
34
44
29
34
41
38
35
40
40
27
37
40
34
46
29
31
36
35
36
46
39
35
44
36
38
35
33
41
36
34
36
30
37
39
35
41
37
34
39
38
39
32
36
41
46
44
32
32
46
44
47
51
34
37
37
41
36
38
47
45
36
37
35
41
36
45
44
43
45
39
44
54
46
35
45
44
34
42
49
53
37
36
46
42
33
54
36
38
54
46
49
46
47
30
33
41
42
45
29
39
44
35
47
36
39
35
36
34
41
42
33
37
40
46
39
37
35
51
32
37
39
31
38
46
43
39
38
43
41
38
38
48
45
41
51
34
36
37
54
31
36
38
47
43
44
35
47
49
49
34
39
48
45
38
39
42
45
45
43
39
46
40
43
43
46
48
44
45
42
51
46
48
49
36
38
40
40
36
42
51
53
49
49
51
41
35
39
42
45
30
34
43
42
53
54
36
42
46
49
46
39
37
38
45
43
48
39
45
47
49
36
38
39
51
52
50
36
41
42
37
42
41
39
54
56
40
38
38
43
40
43
48
38
42
44
50
36
42
38
42
35
43
45
40
39
39
39
41
42
47
46
40
34
40
39
41
36
48
46
38
42
38
35
49
40
43
39
36
45
36
38
44
39
47
46
45
35
39
52
46
44
38
38
41
42
41
34
42
39
41
39
42
39
43
38
43
42
37
39
41
47
48
47
42
42
39
40
37
42
44
39
37
38
38
43
37
40
36
42
42
36
39
39
44
43
39
50
41
42
51
43
44
36
32
44
49
38
39
43
41
38
40
32
36
40
38
42
51
45
47
53
44
47
38
41
53
44
51
50
46
42
43
39
43
54
39
39
47
43
50
48
39
47
57
37
46
53
45
46
44
49
43
41
38
41
46
40
48
52
51
48
49
46
52
52
42
39
41
52
44
48
51
45
36
48
34
40
45
50
45
46
40
42
43
46
35
43
56
44
47
46
50
46
45
44
41
48
51
43
49
47
50
49
38
42
40
46
39
49
45
52
46
40
39
42
47
41
43
35
37
32
42
30
40
38
38
40
39
38
37
45
48
44
46
38
37
38
44
41
46
44
39
47
35
42
43
32
38
42
46
39
44
38
42
46
40
37
41
49
41
39
43
39
35
38
37
32
40
39
41
37
39
41
41
40
42
32
54
45
46
41
44
41
52
40
36
38
32
46
39
47
39
52
53
40
34
50
36
36
47
38
38
39
37
34
36
44
40
43
39
40
47
59
48
49
46
52
48
57
54
48
45
51
47
48
40
40
52
47
37
45
45
48
44
48
43
50
48
53
58
49
45
44
45
52
54
58
39
49
43
46
42
45
42
42
42
42
44
55
61
45
37
55
58
43
45
42
40
50
44
41
53
46
46
41
33
49
41
44
55
49
48
38
41
49
50
47
60
56
53
38
51
53
47
43
45
47
52
55
58
44
49
33
56
45
50
37
42
46
47
48
47
period
numeric
8437
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
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7100
7101
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7105
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7108
7109
7110
7111
7112
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7119
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7125
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7208
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7210
7211
7212
7213
7214
7215
7216
7217
7218
7219
7220
7221
7222
7223
7224
7225
7226
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7228
7229
7230
7231
7232
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7234
7235
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7240
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7244
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7248
7249
7250
7251
7252
7253
7254
7255
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7258
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7260
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7262
7263
7264
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7268
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7273
7274
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7276
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7278
7279
7280
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7282
7283
7284
7285
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7287
7288
7289
7290
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7292
7293
7294
7295
7296
7297
7298
7299
7300
7301
7302
7303
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7310
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7312
7313
7314
7315
7316
7317
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7330
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7350
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7360
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7364
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7380
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7384
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7413
7414
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8000
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8020
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8101
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8110
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8171
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8175
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8184
8185
8186
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8188
8189
8190
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8192
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8194
8195
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8199
8200
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8202
8203
8204
8205
8206
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8208
8209
8210
8211
8212
8213
8214
8215
8216
8217
8218
8219
8220
8221
8222
8223
8224
8225
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8227
8228
8229
8230
8231
8232
8233
8234
8235
8236
8237
8238
8239
8240
8241
8242
8243
8244
8245
8246
8247
8248
8249
8250
8251
8252
8253
8254
8255
8256
8257
8258
8259
8260
8261
8262
8263
8264
8265
8266
8267
8268
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8277
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8280
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8286
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8291
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8299
8300
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8310
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8319
8320
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8325
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8330
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8332
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8340
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8350
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8355
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8357
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8360
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8364
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8380
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8410
8411
8412
8413
8414
8415
8416
8417
8418
8419
8420
8421
8422
8423
8424
8425
8426
8427
8428
8429
8430
8431
8432
8433
8434
8435
8436
8437
class
character
1
data.frame
bigcity
structure
3
.Data
list
2
u
numeric
49
138
93
61
179
48
37
29
23
30
2
38
46
71
25
298
74
50
76
381
387
78
60
507
50
77
64
40
136
243
256
94
36
45
67
120
172
66
46
121
44
64
56
40
116
87
43
43
161
36
x
numeric
49
143
104
69
260
75
63
50
48
111
50
52
53
79
57
317
93
58
80
464
459
106
57
634
64
89
77
60
139
291
288
85
46
53
67
115
183
86
65
113
58
63
142
64
130
105
61
50
232
54
row.names
character
49
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
class
character
1
data.frame
birthwt
structure
3
.Data
list
10
low
numeric
189
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0
0
0
0
0
0
0
0
0
0
0
0
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0
0
0
0
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0
0
0
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0
0
0
0
0
0
0
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0
0
0
0
0
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0
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0
0
0
0
0
0
0
0
0
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0
0
0
0
0
0
0
0
0
0
0
0
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0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
age
numeric
189
19
33
20
21
18
21
22
17
29
26
19
19
22
30
18
18
15
25
20
28
32
31
36
28
25
28
17
29
26
17
17
24
35
25
25
29
19
27
31
33
21
19
23
21
18
18
32
19
24
22
22
23
22
30
19
16
21
30
20
17
17
23
24
28
26
20
24
28
20
22
22
31
23
16
16
18
25
32
20
23
22
32
30
20
23
17
19
23
36
22
24
21
19
25
16
29
29
19
19
30
24
19
24
23
20
25
30
22
18
16
32
18
29
33
20
28
14
28
25
16
20
26
21
22
25
31
35
19
24
45
28
29
34
25
25
27
23
24
24
21
32
19
25
16
25
20
21
24
21
20
25
19
19
26
24
17
20
22
27
20
17
25
20
18
18
20
21
26
31
15
23
20
24
15
23
30
22
17
23
17
26
20
26
14
28
14
23
17
21
lwt
numeric
189
182
155
105
108
107
124
118
103
123
113
95
150
95
107
100
100
98
118
120
120
121
100
202
120
120
167
122
150
168
113
113
90
121
155
125
140
138
124
215
109
185
189
130
160
90
90
132
132
115
85
120
128
130
95
115
110
110
153
103
119
119
119
110
140
133
169
115
250
141
158
112
150
115
112
135
229
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133
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235
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110
184
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120
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186
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130
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134
135
130
120
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158
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129
130
120
170
120
116
123
120
130
187
105
85
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128
132
165
105
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115
130
92
150
200
155
103
125
89
102
112
117
138
130
120
130
130
80
110
105
109
148
110
121
100
96
102
110
187
122
105
115
120
142
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120
154
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190
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class
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numeric
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1970
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2282
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225
226
4
10
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15
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22
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25
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30
31
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15
15
8
12
12
14
4
9
4
11
3
26
14
17
8
35
8
14
20
var
structure
3
.Data
integer
180
1
12
23
34
41
42
43
44
45
2
3
4
5
6
7
8
9
10
11
13
14
15
16
17
18
19
20
21
22
24
25
26
27
28
29
30
31
32
33
35
36
37
38
39
40
1
12
23
34
41
42
43
44
45
2
3
4
5
6
7
8
9
10
11
13
14
15
16
17
18
19
20
21
22
24
25
26
27
28
29
30
31
32
33
35
36
37
38
39
40
1
12
23
34
41
42
43
44
45
2
3
4
5
6
7
8
9
10
11
13
14
15
16
17
18
19
20
21
22
24
25
26
27
28
29
30
31
32
33
35
36
37
38
39
40
1
12
23
34
41
42
43
44
45
2
3
4
5
6
7
8
9
10
11
13
14
15
16
17
18
19
20
21
22
24
25
26
27
28
29
30
31
32
33
35
36
37
38
39
40
.Label
character
45
1
10
11
12
13
14
15
16
17
18
19
2
20
21
22
23
24
25
26
27
28
29
3
30
31
32
33
34
35
36
37
38
39
4
40
41
42
43
44
45
5
6
7
8
9
class
character
1
factor
block
structure
3
.Data
integer
180
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
.Label
character
4
A
B
C
D
class
character
1
factor
row.names
character
180
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
class
character
1
data.frame
capability
structure
3
.Data
list
1
y
numeric
75
5.6600000000000001
5.5
5.6500000000000004
5.5899999999999999
5.6399999999999997
5.6100000000000003
5.5999999999999996
5.5499999999999998
5.6799999999999997
5.6299999999999999
5.5800000000000001
5.6200000000000001
5.5700000000000003
5.5800000000000001
5.6299999999999999
5.54
5.5899999999999999
5.5899999999999999
5.5899999999999999
5.6500000000000004
5.5999999999999996
5.6699999999999999
5.5499999999999998
5.5700000000000003
5.6100000000000003
5.6200000000000001
5.6299999999999999
5.6200000000000001
5.6600000000000001
5.6699999999999999
5.5899999999999999
5.6699999999999999
5.6600000000000001
5.54
5.5499999999999998
5.5700000000000003
5.54
5.5499999999999998
5.5899999999999999
5.6600000000000001
5.6100000000000003
5.6500000000000004
5.5499999999999998
5.6600000000000001
5.6200000000000001
5.5999999999999996
5.6200000000000001
5.6500000000000004
5.6699999999999999
5.6100000000000003
5.5800000000000001
5.6500000000000004
5.6500000000000004
5.6299999999999999
5.5099999999999998
5.5800000000000001
5.5099999999999998
5.5999999999999996
5.6799999999999997
5.5800000000000001
5.6699999999999999
5.5899999999999999
5.6500000000000004
5.6900000000000004
5.6699999999999999
5.6600000000000001
5.5899999999999999
5.7199999999999998
5.6299999999999999
5.5700000000000003
5.5899999999999999
5.5800000000000001
5.6699999999999999
5.6699999999999999
5.6900000000000004
row.names
character
75
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
class
character
1
data.frame
catsM
structure
3
.Data
list
3
Sex
structure
3
.Data
integer
97
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
.Label
character
2
F
M
class
character
1
factor
Bwt
numeric
97
2
2
2.1000000000000001
2.2000000000000002
2.2000000000000002
2.2000000000000002
2.2000000000000002
2.2000000000000002
2.2000000000000002
2.2000000000000002
2.2000000000000002
2.2999999999999998
2.3999999999999999
2.3999999999999999
2.3999999999999999
2.3999999999999999
2.3999999999999999
2.5
2.5
2.5
2.5
2.5
2.5
2.5
2.5
2.6000000000000001
2.6000000000000001
2.6000000000000001
2.6000000000000001
2.6000000000000001
2.6000000000000001
2.7000000000000002
2.7000000000000002
2.7000000000000002
2.7000000000000002
2.7000000000000002
2.7000000000000002
2.7000000000000002
2.7000000000000002
2.7000000000000002
2.7999999999999998
2.7999999999999998
2.7999999999999998
2.7999999999999998
2.7999999999999998
2.7999999999999998
2.7999999999999998
2.8999999999999999
2.8999999999999999
2.8999999999999999
2.8999999999999999
2.8999999999999999
3
3
3
3
3
3
3
3
3
3.1000000000000001
3.1000000000000001
3.1000000000000001
3.1000000000000001
3.1000000000000001
3.1000000000000001
3.2000000000000002
3.2000000000000002
3.2000000000000002
3.2000000000000002
3.2000000000000002
3.2000000000000002
3.2999999999999998
3.2999999999999998
3.2999999999999998
3.2999999999999998
3.2999999999999998
3.3999999999999999
3.3999999999999999
3.3999999999999999
3.3999999999999999
3.3999999999999999
3.5
3.5
3.5
3.5
3.5
3.6000000000000001
3.6000000000000001
3.6000000000000001
3.6000000000000001
3.7000000000000002
3.7999999999999998
3.7999999999999998
3.8999999999999999
3.8999999999999999
Hwt
numeric
97
6.5
6.5
10.1
7.2000000000000002
7.5999999999999996
7.9000000000000004
8.5
9.0999999999999996
9.5999999999999996
9.5999999999999996
10.699999999999999
9.5999999999999996
7.2999999999999998
7.9000000000000004
7.9000000000000004
9.0999999999999996
9.3000000000000007
7.9000000000000004
8.5999999999999996
8.8000000000000007
8.8000000000000007
9.3000000000000007
11
12.699999999999999
12.699999999999999
7.7000000000000002
8.3000000000000007
9.4000000000000004
9.4000000000000004
10.5
11.5
8
9
9.5999999999999996
9.5999999999999996
9.8000000000000007
10.4
11.1
12
12.5
9.0999999999999996
10
10.199999999999999
11.4
12
13.300000000000001
13.5
9.4000000000000004
10.1
10.6
11.300000000000001
11.800000000000001
10
10.4
10.6
11.6
12.199999999999999
12.4
12.699999999999999
13.300000000000001
13.800000000000001
9.9000000000000004
11.5
12.1
12.5
13
14.300000000000001
11.6
11.9
12.300000000000001
13
13.5
13.6
11.5
12
14.1
14.9
15.4
11.199999999999999
12.199999999999999
12.4
12.800000000000001
14.4
11.699999999999999
12.9
15.6
15.699999999999999
17.199999999999999
11.800000000000001
13.300000000000001
14.800000000000001
15
11
14.800000000000001
16.800000000000001
14.4
20.5
row.names
character
97
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
class
character
1
data.frame
cav
structure
3
.Data
list
2
x
numeric
138
498
474
473
450
420
401
384
369
359
334
272
294
274
257
225
165
174
155
137
111
133
60
42
38
98
89
86
77
67
47
100
103
116
124
144
180
188
173
196
148
209
228
240
286
269
305
319
328
335
367
350
359
326
338
367
386
407
450
433
485
442
418
431
460
371
358
358
336
292
273
244
258
233
212
225
213
266
185
136
171
85
57
29
22
9
16
16
25
58
38
76
85
96
60
107
111
146
138
185
198
227
240
280
282
365
394
307
320
399
417
497
490
414
443
380
323
332
328
311
318
303
279
270
242
225
182
166
196
154
111
125
112
81
79
48
34
18
54
y
numeric
138
475
498
449
459
447
430
433
426
435
483
424
445
493
463
488
498
477
480
445
443
486
462
470
416
414
488
395
366
334
325
341
360
372
347
367
390
393
367
349
334
315
316
366
332
313
387
366
389
401
399
376
366
343
320
320
341
406
401
350
266
295
271
245
214
230
278
299
259
281
292
293
284
299
297
273
259
228
286
222
216
209
218
284
266
237
108
126
146
181
173
158
143
128
107
122
191
188
122
141
180
146
154
170
108
161
116
136
126
199
200
177
18
83
104
12
30
42
66
80
92
81
70
22
11
45
17
66
80
35
36
60
93
53
26
43
20
34
76
row.names
character
138
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
class
character
1
data.frame
cement
structure
3
.Data
list
5
x1
numeric
13
7
1
11
11
7
11
3
1
2
21
1
11
10
x2
numeric
13
26
29
56
31
52
55
71
31
54
47
40
66
68
x3
numeric
13
6
15
8
8
6
9
17
22
18
4
23
9
8
x4
numeric
13
60
52
20
47
33
22
6
44
22
26
34
12
12
y
numeric
13
78.5
74.299999999999997
104.3
87.599999999999994
95.900000000000006
109.2
102.7
72.5
93.099999999999994
115.90000000000001
83.799999999999997
113.3
109.40000000000001
row.names
character
13
1
2
3
4
5
6
7
8
9
10
11
12
13
class
character
1
data.frame
channing
structure
3
.Data
list
5
sex
structure
3
.Data
integer
462
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
.Label
character
2
Female
Male
class
character
1
factor
entry
numeric
462
782
1020
856
915
863
906
955
943
943
837
966
936
919
852
1073
925
967
806
969
923
865
953
871
982
883
817
875
821
936
971
830
885
894
893
866
878
820
1007
879
956
854
890
1041
978
836
938
886
876
955
823
960
843
856
847
1027
988
953
978
981
926
1036
1016
969
900
898
846
964
984
1046
871
847
962
853
967
1063
856
865
1051
1010
878
1021
959
921
836
919
751
906
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row.names
character
462
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
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125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
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206
207
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211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
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247
248
249
250
251
252
253
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255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
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366
367
368
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370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
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410
411
412
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414
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416
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418
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420
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427
428
429
430
431
432
433
434
435
436
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441
442
443
444
445
446
447
448
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450
451
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453
454
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456
457
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459
460
461
462
class
character
1
data.frame
claridge
structure
3
.Data
list
2
dnan
numeric
37
13
18
20
21
21
24
24
27
28
28
28
28
28
28
28
28
29
29
29
29
29
29
29
30
30
30
30
31
31
31
31
31
33
33
34
41
44
hand
numeric
37
1
1
3
1
1
1
1
1
1
2
1
2
1
4
1
1
1
1
1
2
2
1
1
1
1
2
1
1
1
1
1
2
6
1
1
4
8
row.names
character
37
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
class
character
1
data.frame
cloth
structure
3
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list
2
x
numeric
32
1.22
1.7
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3.71
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y
numeric
32
1
4
5
14
7
9
2
8
4
7
4
7
6
9
8
6
7
10
6
4
9
14
3
17
9
10
17
9
8
28
23
9
row.names
character
32
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
class
character
1
data.frame
coal
structure
3
.Data
list
1
date
numeric
191
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1851.6324435318274
1851.9691991786447
1851.974674880219
1852.3141683778233
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4
12
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75
8.0999999999999996
54.899999999999999
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45.600000000000001
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10.699999999999999
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row.names
character
133
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
class
character
1
data.frame
motor
structure
3
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list
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numeric
94
2.3999999999999999
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6.2000000000000002
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10.199999999999999
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11.4
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15.6
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16.199999999999999
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21.399999999999999
21.800000000000001
22
23.199999999999999
23.399999999999999
24
24.199999999999999
24.600000000000001
25
25.399999999999999
25.600000000000001
26
26.199999999999999
26.399999999999999
27
27.199999999999999
27.600000000000001
28.199999999999999
28.399999999999999
28.600000000000001
29.399999999999999
30.199999999999999
31
31.199999999999999
32
32.799999999999997
33.399999999999999
33.799999999999997
34.399999999999999
34.799999999999997
35.200000000000003
35.399999999999999
35.600000000000001
36.200000000000003
38
39.200000000000003
39.399999999999999
40
40.399999999999999
41.600000000000001
42.399999999999999
42.799999999999997
43
44
44.399999999999999
45
46.600000000000001
47.799999999999997
48.799999999999997
50.600000000000001
52
53.200000000000003
55
55.399999999999999
57.600000000000001
accel
numeric
94
0
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0
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-1.3
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12
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8.0999999999999996
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45.600000000000001
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69.599999999999994
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14.699999999999999
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10.699999999999999
10.699999999999999
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0
10.699999999999999
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10.699999999999999
strata
numeric
94
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
v
numeric
94
3.7000000000000002
3.7000000000000002
3.7000000000000002
3.7000000000000002
3.7000000000000002
3.7000000000000002
3.7000000000000002
3.7000000000000002
3.7000000000000002
3.7000000000000002
3.7000000000000002
3.7000000000000002
3.7000000000000002
3.7000000000000002
3.7000000000000002
3.7000000000000002
3.7000000000000002
607
607
607
607
607
607
607
607
607
607
607
607
607
607
607
607
607
607
607
607
607
607
607
607
607
607
607
607
607
607
607
607
607
607
607
607
607
607
607
607
607
607
607
607
607
607
607
607
607
607
607
607
607
607
607
607
607
607
607
607
607
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
138
row.names
character
94
1
2
3
4
5
6
7
8
9
10
11
13
14
15
16
17
18
19
20
21
22
28
29
33
35
37
39
42
44
45
48
52
54
56
57
59
60
61
62
63
64
65
66
67
68
69
71
72
74
76
77
78
80
81
82
85
86
87
89
90
91
92
93
94
96
97
98
99
100
101
103
104
106
108
110
111
112
113
114
116
117
119
120
121
122
123
124
126
127
128
129
130
132
133
class
character
1
data.frame
nitrofen
structure
3
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list
5
conc
numeric
50
0
0
0
0
0
0
0
0
0
0
80
80
80
80
80
80
80
80
80
80
160
160
160
160
160
160
160
160
160
160
235
235
235
235
235
235
235
235
235
235
310
310
310
310
310
310
310
310
310
310
brood1
numeric
50
3
5
6
6
6
5
6
5
3
6
6
5
6
5
8
3
5
7
5
3
6
6
2
6
6
6
6
5
6
6
4
6
2
6
6
6
7
4
6
7
6
6
7
0
5
5
6
4
6
5
brood2
numeric
50
14
12
11
12
15
14
12
13
10
11
11
12
11
12
13
9
9
12
13
12
12
12
8
10
11
13
12
10
13
12
13
10
5
0
13
0
0
2
8
0
0
0
0
0
10
0
0
0
0
0
brood3
numeric
50
10
15
17
15
15
15
15
12
11
14
16
16
18
16
15
14
13
12
14
14
11
11
13
11
13
12
12
11
10
11
6
5
0
6
8
10
6
9
7
10
0
0
0
0
0
0
0
0
0
0
total
numeric
50
27
32
34
33
36
34
33
30
24
31
33
33
35
33
36
26
27
31
32
29
29
29
23
27
30
31
30
26
29
29
23
21
7
12
27
16
13
15
21
17
6
6
7
0
15
5
6
4
6
5
row.names
character
50
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
class
character
1
data.frame
nodal
structure
3
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list
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m
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53
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
r
numeric
53
1
1
1
1
1
0
1
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1
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1
1
1
1
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1
0
1
1
0
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numeric
53
0
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0
0
0
0
1
1
1
1
1
1
1
1
0
0
0
0
0
0
0
1
1
1
1
1
1
1
1
1
1
1
0
0
0
0
1
1
1
1
1
0
0
0
0
0
0
stage
numeric
53
1
1
1
1
1
1
0
0
0
0
0
0
1
1
1
1
1
1
1
1
0
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
1
1
0
0
1
1
0
0
0
1
1
1
0
0
0
grade
numeric
53
1
1
1
1
1
1
0
0
0
0
0
0
1
1
1
1
0
0
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0
0
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0
1
1
1
0
1
0
1
1
1
0
1
0
0
xray
numeric
53
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
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0
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0
0
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0
0
0
0
1
1
0
0
0
0
1
1
1
1
0
1
0
1
0
1
1
acid
numeric
53
1
1
1
1
1
1
1
1
1
1
1
1
0
0
0
0
1
1
1
1
0
0
0
0
1
1
1
0
0
0
1
1
1
0
0
0
0
0
1
1
0
0
1
1
1
1
0
0
0
0
1
1
0
row.names
character
53
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
class
character
1
data.frame
paulsen
structure
3
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list
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346
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9.1999999999999993
9.8000000000000007
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20.100000000000001
7.5
8.6999999999999993
7.9000000000000004
8
8
16.300000000000001
10.1
17.100000000000001
5.7000000000000002
8.8000000000000007
15.1
8.1999999999999993
8.1999999999999993
10.300000000000001
15.699999999999999
7.5
20.100000000000001
16.399999999999999
14.5
9.1999999999999993
9.9000000000000004
12.6
11.9
8.3000000000000007
8.9000000000000004
7
6.5999999999999996
7.9000000000000004
7.2000000000000002
13.1
9.0999999999999996
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18
17.100000000000001
15.9
10
11.800000000000001
28.800000000000001
7.7000000000000002
19.5
13.6
7.0999999999999996
6.0999999999999996
14.5
7.9000000000000004
8.5999999999999996
9.3000000000000007
9.3000000000000007
4.5
20.399999999999999
11.6
13.5
19.199999999999999
8.9000000000000004
7
11.1
9
14.300000000000001
6.5999999999999996
18.899999999999999
10.1
18.800000000000001
13.1
8.6999999999999993
8.5
8.3000000000000007
10.300000000000001
7.7000000000000002
6.5
5.9000000000000004
5
8
7.7000000000000002
5.9000000000000004
16.600000000000001
11.1
14.5
6
15.4
5.9000000000000004
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6.2000000000000002
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8
15.1
20.199999999999999
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5.9000000000000004
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8.5
7.5999999999999996
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8.4000000000000004
16.199999999999999
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10.9
14
8.1999999999999993
24.5
8.8000000000000007
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3.5
6.2000000000000002
16.800000000000001
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8.9000000000000004
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16.600000000000001
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8.8000000000000007
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7.2999999999999998
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7.4000000000000004
4.7000000000000002
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5
9.0999999999999996
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20.699999999999999
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6.2000000000000002
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6.4000000000000004
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6.9000000000000004
7
7.0999999999999996
7.2000000000000002
15.800000000000001
17.100000000000001
11.5
14.699999999999999
5
4.5
4.7999999999999998
5.7999999999999998
16.699999999999999
7.9000000000000004
5.2000000000000002
7.5
3.8999999999999999
5.2999999999999998
4.5
15.300000000000001
17.699999999999999
14.6
10.9
8.6999999999999993
7.7999999999999998
5.4000000000000004
5.0999999999999996
5
5.5
7.5999999999999996
5.9000000000000004
13.300000000000001
8.1999999999999993
7
12
5.7000000000000002
16.600000000000001
9
17.699999999999999
7.9000000000000004
6.5
8.5999999999999996
4.5
14.800000000000001
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9.5999999999999996
7.4000000000000004
5.4000000000000004
5.9000000000000004
22.899999999999999
10.300000000000001
4.2000000000000002
7.7000000000000002
7.5
5.5999999999999996
5
10.6
4.9000000000000004
6.5
5.9000000000000004
7.4000000000000004
4.9000000000000004
10.4
7.7000000000000002
6.4000000000000004
12.800000000000001
6.0999999999999996
7.0999999999999996
9.0999999999999996
15.4
10.1
5.7000000000000002
9.1999999999999993
8.6999999999999993
7.5
9.0999999999999996
6.5999999999999996
7.7000000000000002
7.5
14.5
9.8000000000000007
8.0999999999999996
15.300000000000001
7.7999999999999998
7.2999999999999998
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5.7999999999999998
18.199999999999999
4.7999999999999998
9.3000000000000007
6.0999999999999996
16
5.2999999999999998
6
6.7000000000000002
6.4000000000000004
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10.1
7.5999999999999996
6.0999999999999996
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7.5
6.4000000000000004
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6.5999999999999996
18.100000000000001
11.4
5.2999999999999998
10.699999999999999
16.100000000000001
5.2999999999999998
10.800000000000001
5.5999999999999996
4.4000000000000004
6.9000000000000004
7.2999999999999998
10.1
16.300000000000001
8.6999999999999993
15.9
13.800000000000001
8.5999999999999996
5.2999999999999998
9.5
8.5
14.699999999999999
7
18
14.300000000000001
2.8999999999999999
19.199999999999999
row.names
character
346
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
class
character
1
data.frame
phones
structure
3
.Data
list
2
year
numeric
24
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
calls
numeric
24
4.4000000000000004
4.7000000000000002
4.7000000000000002
5.9000000000000004
6.5999999999999996
7.2999999999999998
8.0999999999999996
8.8000000000000007
10.6
12
13.5
14.9
16.100000000000001
21.199999999999999
119
124
142
159
182
212
43
24
27
29
row.names
character
24
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
class
character
1
data.frame
poisons
structure
3
.Data
list
3
time
numeric
48
0.31
0.45000000000000001
0.46000000000000002
0.42999999999999999
0.35999999999999999
0.28999999999999998
0.40000000000000002
0.23000000000000001
0.22
0.20999999999999999
0.17999999999999999
0.23000000000000001
0.81999999999999995
1.1000000000000001
0.88
0.71999999999999997
0.92000000000000004
0.60999999999999999
0.48999999999999999
1.24
0.29999999999999999
0.37
0.38
0.28999999999999998
0.42999999999999999
0.45000000000000001
0.63
0.76000000000000001
0.44
0.34999999999999998
0.31
0.40000000000000002
0.23000000000000001
0.25
0.23999999999999999
0.22
0.45000000000000001
0.70999999999999996
0.66000000000000003
0.62
0.56000000000000005
1.02
0.70999999999999996
0.38
0.29999999999999999
0.35999999999999999
0.31
0.33000000000000002
poison
structure
3
.Data
integer
48
1
1
1
1
2
2
2
2
3
3
3
3
1
1
1
1
2
2
2
2
3
3
3
3
1
1
1
1
2
2
2
2
3
3
3
3
1
1
1
1
2
2
2
2
3
3
3
3
.Label
character
3
1
2
3
class
character
1
factor
treat
structure
3
.Data
integer
48
1
1
1
1
1
1
1
1
1
1
1
1
2
2
2
2
2
2
2
2
2
2
2
2
3
3
3
3
3
3
3
3
3
3
3
3
4
4
4
4
4
4
4
4
4
4
4
4
.Label
character
4
A
B
C
D
class
character
1
factor
row.names
character
48
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
class
character
1
data.frame
polar
structure
3
.Data
list
2
lat
numeric
50
-26.399999999999999
-32.200000000000003
-73.099999999999994
-80.200000000000003
-71.099999999999994
-58.700000000000003
-40.799999999999997
-14.9
-66.099999999999994
-1.8
-52.100000000000001
-77.299999999999997
-68.799999999999997
-68.400000000000006
-29.199999999999999
-78.5
-65.400000000000006
-49
-67
-56.700000000000003
-80.5
-77.700000000000003
-6.9000000000000004
-59.399999999999999
-5.5999999999999996
-62.600000000000001
-74.700000000000003
-65.299999999999997
-71.599999999999994
-23.300000000000001
-74.299999999999997
-81
-12.699999999999999
-75.400000000000006
-85.900000000000006
-84.799999999999997
-7.4000000000000004
-29.800000000000001
-85.200000000000003
-53.100000000000001
-38.299999999999997
-72.700000000000003
-60.200000000000003
-63.399999999999999
-17.199999999999999
-81.599999999999994
-40.399999999999999
-53.600000000000001
-56.200000000000003
-75.099999999999994
long
numeric
50
324
163.69999999999999
51.899999999999999
140.5
267.19999999999999
32
28.100000000000001
266.30000000000001
144.30000000000001
256.19999999999999
83.200000000000003
182.09999999999999
110.40000000000001
142.19999999999999
246.30000000000001
222.59999999999999
247.69999999999999
65.599999999999994
282.60000000000002
56.200000000000003
108.40000000000001
266
19.100000000000001
281.69999999999999
107.40000000000001
105.3
120.2
286.60000000000002
106.40000000000001
96.5
90.200000000000003
170.90000000000001
199.40000000000001
118.59999999999999
63.700000000000003
74.900000000000006
93.799999999999997
72.799999999999997
113.2
51.5
146.80000000000001
103.09999999999999
33.200000000000003
154.80000000000001
89.900000000000006
295.60000000000002
41
59.100000000000001
35.600000000000001
70.700000000000003
row.names
character
50
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
class
character
1
data.frame
remission
structure
3
.Data
list
3
LI
numeric
27
0.40000000000000002
0.40000000000000002
0.5
0.5
0.59999999999999998
0.59999999999999998
0.59999999999999998
0.69999999999999996
0.69999999999999996
0.69999999999999996
0.80000000000000004
0.80000000000000004
0.80000000000000004
0.90000000000000002
1
1
1
1.1000000000000001
1.1000000000000001
1.2
1.3
1.3999999999999999
1.6000000000000001
1.7
1.8999999999999999
1.8999999999999999
1.8999999999999999
m
numeric
27
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
r
numeric
27
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
1
1
0
1
0
1
1
0
1
0
1
1
row.names
character
27
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
class
character
1
data.frame
scramble
function
3
ts
missing
0
norm
name
1
T

{
17

comment.expression
2

comment
1

character
4
#
#  Phase scramble a time series.  If norm=T then normal margins are
#  used otherwise exact empirical margins are used.
#

<-
2

name
1
cl

call
2

name
1
class

name
1
ts

if
2

call
2

name
1
any

call
3

name
1
==

name
1
cl

character
1
its

call
2

name
1
stop

character
1
Irregular time series not allowed

if
2

call
2

name
1
is.matrix

name
1
ts

call
2

name
1
stop

character
1
Multivariate time series not allowed

<-
2

name
1
st

call
2

name
1
start

name
1
ts

<-
2

name
1
dt

call
2

name
1
deltat

name
1
ts

<-
2

name
1
frq

call
2

name
1
frequency

name
1
ts

<-
2

name
1
un

call
2

name
1
units

name
1
ts

<-
2

name
1
y

call
2

name
1
as.vector

name
1
ts

<-
2

name
1
e

call
3

name
1
-

name
1
y

call
2

name
1
mean

name
1
y

<-
2

name
1
n

call
2

name
1
length

name
1
e

if
2

call
2

name
1
!

name
1
norm

<-
2

name
1
e

call
2

name
1
qnorm

call
3

name
1
/

call
2

name
1
rank

name
1
e

(
2

name
1
(

call
3

name
1
+

name
1
n

numeric
1
1

<-
2

name
1
f

call
3

name
1
*

call
2

name
1
fft

name
1
e

call
3

name
1
complex
length
name
1
n
argument
call
3

name
1
*

call
3

name
1
*

call
2

name
1
runif

name
1
n

numeric
1
2

name
1
pi

<-
2

name
1
C.f

call
2

name
1
Conj

call
3

name
1
c

numeric
1
0

call
3

name
1
[

name
1
f

call
4

name
1
seq
from
name
1
n
to
numeric
1
2
by
numeric
1
-1

<-
2

name
1
e

call
2

name
1
Re

call
3

name
1
+

call
2

name
1
mean

name
1
y

call
3

name
1
/

call
3

name
1
fft

call
3

name
1
/

(
2

name
1
(

call
3

name
1
+

name
1
f

name
1
C.f

call
2

name
1
sqrt

numeric
1
2
inverse
name
1
T

name
1
n

if
2

call
2

name
1
!

name
1
norm

<-
2

name
1
e

call
3

name
1
[

call
2

name
1
sort

name
1
y

call
2

name
1
rank

name
1
e

if
3

call
2

name
1
is.null

name
1
cl

<-
2

name
1
e

call
5

name
1
ts

name
1
e
start
name
1
st
freq
name
1
frq
deltat
name
1
dt

if
3

call
2

name
1
any

call
3

name
1
==

name
1
cl

character
1
rts

<-
2

name
1
e

call
6

name
1
rts

name
1
e
start
name
1
st
freq
name
1
frq
deltat
name
1
dt
units
name
1
un

<-
2

name
1
e

call
6

name
1
cts

name
1
e
start
name
1
st
freq
name
1
frq
deltat
name
1
dt
units
name
1
un

name
1
e
survival
structure
3
.Data
list
2
dose
numeric
14
117.5
117.5
235
235
470
470
470
705
705
940
940
940
1410
1410
surv
numeric
14
44
55
16
13
4
1.96
6.1200000000000001
0.5
0.32000000000000001
0.11
0.014999999999999999
0.019
0.69999999999999996
0.0060000000000000001
row.names
character
14
1
2
3
4
5
6
7
8
9
10
11
12
13
14
class
character
1
data.frame
tuna
structure
3
.Data
list
1
y
numeric
64
0.19
0.28000000000000003
0.28999999999999998
0.45000000000000001
0.64000000000000001
0.65000000000000002
0.78000000000000003
0.84999999999999998
1
1.1599999999999999
1.1699999999999999
1.29
1.3100000000000001
1.3400000000000001
1.55
1.6000000000000001
1.8300000000000001
1.9099999999999999
1.97
2.0499999999999998
2.1000000000000001
2.1699999999999999
2.2799999999999998
2.4100000000000001
2.46
2.5099999999999998
2.8900000000000001
2.8900000000000001
2.8999999999999999
2.9199999999999999
3.0299999999999998
3.1899999999999999
3.48
3.79
3.8300000000000001
3.9399999999999999
3.9500000000000002
4.1100000000000003
4.1399999999999997
4.1900000000000004
4.3600000000000003
4.5300000000000002
4.9699999999999998
5.0199999999999996
5.1299999999999999
5.75
6.0300000000000002
6.1900000000000004
6.1900000000000004
6.4500000000000002
7.1299999999999999
7.3499999999999996
7.7699999999999996
7.7999999999999998
8.8100000000000005
9.2200000000000006
9.2899999999999991
9.7799999999999994
10.15
11.32
13.210000000000001
13.27
14.390000000000001
16.260000000000002
row.names
character
64
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
class
character
1
data.frame
urine
structure
3
.Data
list
7
r
numeric
79
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
gravity
numeric
79
1.0209999999999999
1.0169999999999999
1.008
1.0109999999999999
1.0049999999999999
1.02
1.012
1.0289999999999999
1.0149999999999999
1.0209999999999999
1.0109999999999999
1.0249999999999999
1.006
1.0069999999999999
1.0109999999999999
1.018
1.0069999999999999
1.0249999999999999
1.008
1.014
1.024
1.0189999999999999
1.014
1.02
1.0229999999999999
1.0169999999999999
1.0169999999999999
1.01
1.008
1.02
1.0169999999999999
1.0189999999999999
1.0169999999999999
1.008
1.0229999999999999
1.02
1.008
1.02
1.0089999999999999
1.018
1.0209999999999999
1.0089999999999999
1.0149999999999999
1.01
1.02
1.0209999999999999
1.024
1.024
1.0209999999999999
1.024
1.026
1.0129999999999999
1.01
1.0109999999999999
1.022
1.0109999999999999
1.0309999999999999
1.02
1.04
1.0209999999999999
1.0249999999999999
1.026
1.034
1.0329999999999999
1.0149999999999999
1.0129999999999999
1.014
1.012
1.0249999999999999
1.026
1.028
1.0269999999999999
1.018
1.022
1.0249999999999999
1.0169999999999999
1.024
1.016
1.0149999999999999
ph
numeric
79
4.9100000000000001
5.7400000000000002
7.2000000000000002
5.5099999999999998
6.5199999999999996
5.2699999999999996
5.6200000000000001
5.6699999999999999
5.4100000000000001
6.1299999999999999
6.1900000000000004
5.5300000000000002
7.1200000000000001
5.3499999999999996
5.21
4.9000000000000004
6.6299999999999999
6.8099999999999996
6.8799999999999999
6.1399999999999997
6.2999999999999998
5.4699999999999998
7.3799999999999999
5.96
5.6799999999999997
6.7599999999999998
7.6100000000000003
6.6100000000000003
5.8700000000000001
5.4400000000000004
7.9199999999999999
5.9800000000000004
6.5599999999999996
5.9400000000000004
5.8499999999999996
5.6600000000000001
6.4000000000000004
6.3499999999999996
6.3700000000000001
6.1799999999999997
5.3300000000000001
5.6399999999999997
6.79
5.9699999999999998
5.6799999999999997
5.9400000000000004
5.7699999999999996
5.5999999999999996
5.5300000000000002
5.3600000000000003
5.1600000000000001
5.8600000000000003
6.2699999999999996
7.0099999999999998
6.21
6.1299999999999999
5.7300000000000004
7.9400000000000004
6.2800000000000002
5.5599999999999996
5.71
6.1900000000000004
5.2400000000000002
5.5800000000000001
5.9800000000000004
5.5800000000000001
5.9000000000000004
6.75
6.9000000000000004
6.29
4.7599999999999998
5.4000000000000004
5.1399999999999997
5.0899999999999999
7.9000000000000004
4.8099999999999996
5.4000000000000004
6.8099999999999996
6.0300000000000002
osmo
numeric
79
725
577
321
408
187
668
461
1107
543
779
345
907
242
283
450
684
253
947
395
565
874
760
577
631
749
455
527
225
241
781
680
579
559
256
970
702
341
704
325
694
815
386
541
343
876
774
698
866
775
853
822
531
371
443
N
364
874
567
838
658
854
956
1236
1032
487
516
456
251
945
833
312
840
703
736
721
410
803
594
416
cond
numeric
79
N
20
14.9
12.6
7.5
25.300000000000001
17.399999999999999
35.899999999999999
21.899999999999999
25.699999999999999
11.5
28.399999999999999
11.300000000000001
9.9000000000000004
17.899999999999999
26.100000000000001
8.4000000000000004
32.600000000000001
26.100000000000001
23.600000000000001
29.899999999999999
33.799999999999997
30.100000000000001
11.199999999999999
29
8.8000000000000007
25.800000000000001
9.8000000000000007
5.0999999999999996
29
25.300000000000001
15.5
15.800000000000001
8.0999999999999996
38
23.600000000000001
14.6
24.5
12.199999999999999
23.300000000000001
26
17.699999999999999
20.899999999999999
13.4
35.799999999999997
27.899999999999999
19.5
29.5
31.199999999999999
27.600000000000001
26
21.399999999999999
11.199999999999999
21.399999999999999
20.600000000000001
10.9
17.399999999999999
19.699999999999999
14.300000000000001
23.600000000000001
27
27.600000000000001
27.300000000000001
29.100000000000001
14.800000000000001
20.800000000000001
17.800000000000001
5.0999999999999996
33.600000000000001
22.199999999999999
12.4
24.5
29
19.800000000000001
23.600000000000001
13.300000000000001
21.800000000000001
21.399999999999999
12.800000000000001
urea
numeric
79
443
296
101
224
91
252
195
550
170
382
152
448
64
147
161
284
133
395
95
214
380
199
87
422
239
270
75
72
159
349
282
297
317
130
362
330
125
260
97
311
385
104
187
126
308
325
354
360
302
364
301
197
188
124
398
159
516
212
486
224
385
473
620
430
198
184
164
141
396
457
10
395
272
418
301
195
394
255
178
calc
numeric
79
2.4500000000000002
4.4900000000000002
2.3599999999999999
2.1499999999999999
1.1599999999999999
3.3399999999999999
1.3999999999999999
8.4800000000000004
1.1599999999999999
2.21
1.9299999999999999
1.27
1.03
1.47
1.53
5.0899999999999999
1.05
2.0299999999999998
7.6799999999999997
1.45
5.1600000000000001
0.81000000000000005
1.3200000000000001
1.55
1.52
0.77000000000000002
2.1699999999999999
0.17000000000000001
0.82999999999999996
3.04
1.0600000000000001
3.9300000000000002
5.3799999999999999
3.5299999999999998
4.54
3.98
1.02
3.46
1.1899999999999999
5.6399999999999997
2.6600000000000001
1.22
2.6400000000000001
2.3100000000000001
4.4900000000000002
6.96
13
5.54
6.1900000000000004
7.3099999999999996
14.34
4.7400000000000002
2.5
1.27
4.1799999999999997
3.1000000000000001
3.0099999999999998
6.8099999999999996
8.2799999999999994
2.3300000000000001
7.1799999999999997
5.6699999999999999
12.68
8.9399999999999995
3.1600000000000001
3.2999999999999998
6.9900000000000002
0.65000000000000002
4.1799999999999997
4.4500000000000002
0.27000000000000002
7.6399999999999997
6.6299999999999999
8.5299999999999994
9.0399999999999991
0.57999999999999996
7.8200000000000003
12.199999999999999
9.3900000000000006
row.names
character
79
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
class
character
1
data.frame
wool
structure
3
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numeric
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0.095600000000000004
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0.087499999999999994
0.074999999999999997
0.081000000000000003
0.086499999999999994
0.10199999999999999
0.1087
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0.1255
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0.14899999999999999
0.16889999999999999
0.17560000000000001
0.16550000000000001
0.16550000000000001
0.15890000000000001
0.16550000000000001
0.1749
0.1749
0.1691
0.15890000000000001
0.1623
0.15559999999999999
0.1522
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0.14219999999999999
0.13189999999999999
0.12540000000000001
0.12280000000000001
0.1298
0.1265
0.1298
0.13969999999999999
0.1431
0.14979999999999999
0.14979999999999999
0.14979999999999999
0.1464
0.1431
0.1356
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0.1381
0.1343
0.12540000000000001
0.1323
0.1376
0.13969999999999999
0.14249999999999999
0.14530000000000001
0.14199999999999999
0.14199999999999999
0.13880000000000001
0.12909999999999999
0.12790000000000001
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0.13550000000000001
0.1192
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0.1192
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0.1255
0.122
0.122
0.1192
0.1216
0.1216
0.12479999999999999
0.13070000000000001
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0.122
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0.11840000000000001
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0.1416
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0.2412
0.2467
0.2384
0.2291
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0.24249999999999999
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0.249
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0.3468
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0.311
0.32150000000000001
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0.29270000000000002
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0.27060000000000001
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0.246
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0.245
0.2026
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0.219
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0.26319999999999999
0.2707
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0.27350000000000002
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0.26319999999999999
0.26769999999999999
0.28139999999999998
0.27679999999999999
0.27839999999999998
0.28299999999999997
0.2853
0.2762
0.28079999999999999
0.25900000000000001
0.26129999999999998
0.247
0.25829999999999997
0.247
0.23599999999999999
0.2631
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0.27129999999999999
0.25490000000000002
0.25369999999999998
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0.25929999999999997
0.26490000000000002
0.28599999999999998
0.28079999999999999
0.2843
0.2802
0.2843
0.28079999999999999
0.28449999999999998
0.28760000000000002
0.31879999999999997
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0.30719999999999997
0.31340000000000001
0.29620000000000002
0.3004
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class
character
1
rts
tspar
structure
3
.Data
numeric
3
1
1
1
.Names
character
3
start
deltat
frequency
units
character
1
weeks