Example 2 for PROC GAMPL
/****************************************************************/
/* S A S S A M P L E L I B R A R Y */
/* */
/* NAME: hpgamex2 */
/* TITLE: Example 2 for PROC GAMPL */
/* DESC: Pima Indians Diabetes data set */
/* REF: Lim, Loh and Shih (2000) */
/* PRODUCT: STAT */
/* SYSTEM: ALL */
/* KEYS: */
/* PROCS: GAMPL */
/* */
/* SUPPORT: Weijie Cai */
/****************************************************************/
title 'Pima Indian Diabetes Study';
data Pima;
input NPreg Glucose Pressure Triceps BMI Pedigree Age Diabetes Test@@;
datalines;
6 148 72 35 33.6 0.627 50 1 1 1 85 66 29 26.6 0.351 31 0 1
1 89 66 23 28.1 0.167 21 0 0 3 78 50 32 31 0.248 26 1 0
2 197 70 45 30.5 0.158 53 1 0 5 166 72 19 25.8 0.587 51 1 1
0 118 84 47 45.8 0.551 31 1 1 1 103 30 38 43.3 0.183 33 0 1
3 126 88 41 39.3 0.704 27 0 0 9 119 80 35 29 0.263 29 1 0
1 97 66 15 23.2 0.487 22 0 0 5 109 75 26 36 0.546 60 0 1
3 88 58 11 24.8 0.267 22 0 1 10 122 78 31 27.6 0.512 45 0 0
4 103 60 33 24 0.966 33 0 0 9 102 76 37 32.9 0.665 46 1 1
2 90 68 42 38.2 0.503 27 1 0 4 111 72 47 37.1 1.39 56 1 0
3 180 64 25 34 0.271 26 0 1 7 106 92 18 22.7 0.235 48 0 0
9 171 110 24 45.4 0.721 54 1 0 0 180 66 39 42 1.893 25 1 1
2 71 70 27 28 0.586 22 0 0 1 103 80 11 19.4 0.491 22 0 0
1 101 50 15 24.2 0.526 26 0 0 5 88 66 21 24.4 0.342 30 0 0
7 150 66 42 34.7 0.718 42 0 1 1 73 50 10 23 0.248 21 0 0
0 105 64 41 41.5 0.173 22 0 0 5 99 74 27 29 0.203 32 0 0
0 109 88 30 32.5 0.855 38 1 0 1 95 66 13 19.6 0.334 25 0 0
4 146 85 27 28.9 0.189 27 0 0 2 100 66 20 32.9 0.867 28 1 0
4 129 86 20 35.1 0.231 23 0 0 5 95 72 33 37.7 0.37 27 0 1
2 112 66 22 25 0.307 24 0 0 3 113 44 13 22.4 0.14 22 0 0
7 83 78 26 29.3 0.767 36 0 0 0 101 65 28 24.6 0.237 22 0 0
13 106 72 54 36.6 0.178 45 0 0 2 100 68 25 38.5 0.324 26 0 1
15 136 70 32 37.1 0.153 43 1 1 4 123 80 15 32 0.443 34 0 0
7 81 78 40 46.7 0.261 42 0 0 2 92 62 28 31.6 0.13 24 0 0
6 93 50 30 28.7 0.356 23 0 0 1 122 90 51 49.7 0.325 31 1 0
1 81 72 18 26.6 0.283 24 0 0 1 126 56 29 28.7 0.801 21 0 1
4 144 58 28 29.5 0.287 37 0 0 1 89 76 34 31.2 0.192 23 0 1
7 160 54 32 30.5 0.588 39 1 1 4 97 60 23 28.2 0.443 22 0 0
0 162 76 56 53.2 0.759 25 1 0 2 107 74 30 33.6 0.404 23 0 1
1 88 30 42 55 0.496 26 1 0 1 117 88 24 34.5 0.403 40 1 1
4 173 70 14 29.7 0.361 33 1 1 3 170 64 37 34.5 0.356 30 1 0
8 84 74 31 38.3 0.457 39 0 1 0 100 70 26 30.8 0.597 21 0 0
0 93 60 25 28.7 0.532 22 0 0 5 106 82 30 39.5 0.286 38 0 0
2 108 52 26 32.5 0.318 22 0 0 2 106 64 35 30.5 1.4 34 0 0
2 90 70 17 27.3 0.085 22 0 0 9 156 86 28 34.3 1.189 42 1 0
1 153 82 42 40.6 0.687 23 0 1 7 152 88 44 50 0.337 36 1 0
2 88 74 19 29 0.229 22 0 0 17 163 72 41 40.9 0.817 47 1 0
4 151 90 38 29.7 0.294 36 0 1 7 102 74 40 37.2 0.204 45 0 1
0 114 80 34 44.2 0.167 27 0 0 6 104 74 18 29.9 0.722 41 1 0
2 75 64 24 29.7 0.37 33 0 1 8 179 72 42 32.7 0.719 36 1 0
0 129 110 46 67.1 0.319 26 1 0 1 128 98 41 32 1.321 33 1 0
8 109 76 39 27.9 0.64 31 1 1 4 109 64 44 34.8 0.905 26 1 0
0 113 80 16 31 0.874 21 0 0 0 108 68 20 27.3 0.787 32 0 1
5 111 72 28 23.9 0.407 27 0 0 8 196 76 29 37.5 0.605 57 1 1
2 81 60 22 27.7 0.29 25 0 0 0 147 85 54 42.8 0.375 24 0 0
5 109 62 41 35.8 0.514 25 1 0 6 125 68 30 30 0.464 32 0 1
5 85 74 22 29 1.224 32 1 1 7 142 60 33 28.8 0.687 61 0 0
1 100 66 15 23.6 0.666 26 0 0 1 87 78 27 34.6 0.101 22 0 1
3 162 52 38 37.2 0.652 24 1 0 4 197 70 39 36.7 2.329 31 0 1
0 117 80 31 45.2 0.089 24 0 1 6 134 80 37 46.2 0.238 46 1 0
3 74 68 28 29.7 0.293 23 0 0 7 181 84 21 35.9 0.586 51 1 1
0 179 90 27 44.1 0.686 23 1 0 1 91 64 24 29.2 0.192 21 0 0
4 91 70 32 33.1 0.446 22 0 1 6 119 50 22 27.1 1.318 33 1 0
2 146 76 35 38.2 0.329 29 0 1 9 184 85 15 30 1.213 49 1 0
0 165 90 33 52.3 0.427 23 0 0 9 124 70 33 35.4 0.282 34 0 1
1 111 86 19 30.1 0.143 23 0 1 2 90 80 14 24.4 0.249 24 0 0
1 113 64 35 33.6 0.543 21 1 1 3 111 56 39 30.1 0.557 30 0 0
11 155 76 28 33.3 1.353 51 1 0 4 95 70 32 32.1 0.612 24 0 1
5 96 74 18 33.6 0.997 43 0 0 2 128 64 42 40 1.101 24 0 1
10 101 86 37 45.6 1.136 38 1 0 2 108 62 32 25.2 0.128 21 0 1
2 100 70 52 40.5 0.677 25 0 0 7 106 60 24 26.5 0.296 29 1 0
0 104 64 23 27.8 0.454 23 0 0 2 108 62 10 25.3 0.881 22 0 1
7 133 88 15 32.4 0.262 37 0 0 7 136 74 26 26 0.647 51 0 1
1 119 86 39 45.6 0.808 29 1 0 4 96 56 17 20.8 0.34 26 0 0
0 78 88 29 36.9 0.434 21 0 0 0 107 62 30 36.6 0.757 25 1 0
6 151 62 31 35.5 0.692 28 0 0 2 146 70 38 28 0.337 29 1 0
0 126 84 29 30.7 0.52 24 0 0 2 144 58 33 31.6 0.422 25 1 1
2 120 76 37 39.7 0.215 29 0 0 10 161 68 23 25.5 0.326 47 1 0
0 128 68 19 30.5 1.391 25 1 0 2 124 68 28 32.9 0.875 30 1 1
2 155 74 17 26.6 0.433 27 1 1 3 113 50 10 29.5 0.626 25 0 1
7 109 80 31 35.9 1.127 43 1 0 3 115 66 39 38.1 0.15 28 0 1
13 152 90 33 26.8 0.731 43 1 0 2 112 75 32 35.7 0.148 21 0 1
1 157 72 21 25.6 0.123 24 0 0 1 122 64 32 35.1 0.692 30 1 1
2 102 86 36 45.5 0.127 23 1 1 6 105 70 32 30.8 0.122 37 0 1
8 118 72 19 23.1 1.476 46 0 0 2 87 58 16 32.7 0.166 25 0 0
1 95 60 18 23.9 0.26 22 0 0 1 130 70 13 25.9 0.472 22 0 0
1 95 74 21 25.9 0.673 36 0 0 8 126 88 36 38.5 0.349 49 0 1
1 139 46 19 28.7 0.654 22 0 1 3 99 62 19 21.8 0.279 26 0 0
1 125 50 40 33.3 0.962 28 1 0 1 196 76 36 36.5 0.875 29 1 0
5 189 64 33 31.2 0.583 29 1 0 5 103 108 37 39.2 0.305 65 0 0
4 147 74 25 34.9 0.385 30 0 1 5 99 54 28 34 0.499 30 0 0
3 81 86 16 27.5 0.306 22 0 1 3 173 82 48 38.4 2.137 25 1 0
0 84 64 22 35.8 0.545 21 0 1 0 98 82 15 25.2 0.299 22 0 0
1 87 60 37 37.2 0.509 22 0 0 0 93 100 39 43.4 1.021 35 0 1
0 105 68 22 20 0.236 22 0 0 1 90 62 18 25.1 1.268 25 0 1
1 125 70 24 24.3 0.221 25 0 1 1 119 54 13 22.3 0.205 24 0 0
5 116 74 29 32.3 0.66 35 1 1 8 105 100 36 43.3 0.239 45 1 1
3 100 68 23 31.6 0.949 28 0 1 1 131 64 14 23.7 0.389 21 0 0
2 127 58 24 27.7 1.6 25 0 0 3 96 56 34 24.7 0.944 39 0 1
3 193 70 31 34.9 0.241 25 1 0 5 136 84 41 35 0.286 35 1 0
9 72 78 25 31.6 0.28 38 0 0 1 172 68 49 42.4 0.702 28 1 0
6 102 90 39 35.7 0.674 28 0 1 1 112 72 30 34.4 0.528 25 0 0
1 143 84 23 42.4 1.076 22 0 0 3 173 84 33 35.7 0.258 22 1 1
4 144 82 32 38.5 0.554 37 1 1 3 129 64 29 26.4 0.219 28 1 0
1 119 88 41 45.3 0.507 26 0 1 2 94 68 18 26 0.561 21 0 0
0 102 64 46 40.6 0.496 21 0 1 8 151 78 32 42.9 0.516 36 1 0
1 181 64 30 34.1 0.328 38 1 0 1 95 82 25 35 0.233 43 1 0
3 89 74 16 30.4 0.551 38 0 0 1 80 74 11 30 0.527 22 0 1
1 90 68 8 24.5 1.138 36 0 0 0 189 104 25 34.3 0.435 41 1 0
4 117 64 27 33.2 0.23 24 0 0 0 180 78 63 59.4 2.42 25 1 1
0 104 64 37 33.6 0.51 22 1 1 0 120 74 18 30.5 0.285 26 0 0
1 82 64 13 21.2 0.415 23 0 1 0 91 68 32 39.9 0.381 25 0 0
9 134 74 33 25.9 0.46 81 0 1 9 120 72 22 20.8 0.733 48 0 0
8 74 70 40 35.3 0.705 39 0 0 5 88 78 30 27.6 0.258 37 0 0
0 124 56 13 21.8 0.452 21 0 0 0 97 64 36 36.8 0.6 25 0 0
1 144 82 40 41.3 0.607 28 0 0 0 137 70 38 33.2 0.17 22 0 0
4 132 86 31 28 0.419 63 0 1 3 158 70 30 35.5 0.344 35 1 0
0 123 88 37 35.2 0.197 29 0 0 0 84 82 31 38.2 0.233 23 0 1
0 135 68 42 42.3 0.365 24 1 0 1 139 62 41 40.7 0.536 21 0 1
0 173 78 32 46.5 1.159 58 0 0 2 83 65 28 36.8 0.629 24 0 1
2 89 90 30 33.5 0.292 42 0 1 4 99 68 38 32.8 0.145 33 0 1
4 125 70 18 28.9 1.144 45 1 0 2 81 72 15 30.1 0.547 25 0 1
6 154 74 32 29.3 0.839 39 0 0 2 117 90 19 25.2 0.313 21 0 0
3 84 72 32 37.2 0.267 28 0 1 7 94 64 25 33.3 0.738 41 0 0
3 96 78 39 37.3 0.238 40 0 0 12 84 72 31 29.7 0.297 46 1 0
3 99 54 19 25.6 0.154 24 0 1 3 163 70 18 31.6 0.268 28 1 0
9 145 88 34 30.3 0.771 53 1 0 6 129 90 7 19.6 0.582 60 0 0
2 68 70 32 25 0.187 25 0 1 3 87 60 18 21.8 0.444 21 0 1
2 122 60 18 29.8 0.717 22 0 1 1 77 56 30 33.3 1.251 24 0 1
0 127 80 37 36.3 0.804 23 0 1 3 128 72 25 32.4 0.549 27 1 0
10 90 85 32 34.9 0.825 56 1 0 4 84 90 23 39.5 0.159 25 0 0
1 88 78 29 32 0.365 29 0 0 8 186 90 35 34.5 0.423 37 1 0
5 187 76 27 43.6 1.034 53 1 0 4 131 68 21 33.1 0.16 28 0 0
1 116 70 28 27.4 0.204 21 0 0 3 84 68 30 31.9 0.591 25 0 1
1 88 62 24 29.9 0.422 23 0 1 1 84 64 23 36.9 0.471 28 0 0
11 103 68 40 46.2 0.126 42 0 0 6 99 60 19 26.9 0.497 32 0 1
1 99 72 30 38.6 0.412 21 0 0 3 111 58 31 29.5 0.43 22 0 1
2 98 60 17 34.7 0.198 22 0 0 1 143 86 30 30.1 0.892 23 0 1
1 119 44 47 35.5 0.28 25 0 0 6 108 44 20 24 0.813 35 0 1
3 176 86 27 33.3 1.154 52 1 0 11 111 84 40 46.8 0.925 45 1 1
2 112 78 50 39.4 0.175 24 0 1 2 82 52 22 28.5 1.699 25 0 1
6 123 72 45 33.6 0.733 34 0 0 1 89 24 19 27.8 0.559 21 0 0
1 108 88 19 27.1 0.4 24 0 0 1 124 60 32 35.8 0.514 21 0 1
1 181 78 42 40 1.258 22 1 0 1 92 62 25 19.5 0.482 25 0 0
0 152 82 39 41.5 0.27 27 0 0 3 174 58 22 32.9 0.593 36 1 1
6 105 80 28 32.5 0.878 26 0 1 11 138 74 26 36.1 0.557 50 1 0
2 68 62 13 20.1 0.257 23 0 1 9 112 82 24 28.2 1.282 50 1 0
0 94 70 27 43.5 0.347 21 0 0 4 90 88 47 37.7 0.362 29 0 0
4 94 65 22 24.7 0.148 21 0 1 0 102 78 40 34.5 0.238 24 0 0
1 128 82 17 27.5 0.115 22 0 1 7 97 76 32 40.9 0.871 32 1 1
1 100 74 12 19.5 0.149 28 0 0 3 103 72 30 27.6 0.73 27 0 0
0 179 50 36 37.8 0.455 22 1 0 11 136 84 35 28.3 0.26 42 1 1
1 117 60 23 33.8 0.466 27 0 0 2 155 52 27 38.7 0.24 25 1 0
2 101 58 35 21.8 0.155 22 0 1 1 112 80 45 34.8 0.217 24 0 1
4 145 82 18 32.5 0.235 70 1 1 10 111 70 27 27.5 0.141 40 1 0
6 98 58 33 34 0.43 43 0 0 6 165 68 26 33.6 0.631 49 0 0
10 68 106 23 35.5 0.285 47 0 1 3 123 100 35 57.3 0.88 22 0 1
0 162 76 36 49.6 0.364 26 1 1 0 95 64 39 44.6 0.366 22 0 0
2 129 74 26 33.2 0.591 25 0 0 1 107 50 19 28.3 0.181 29 0 0
7 142 90 24 30.4 0.128 43 1 1 3 169 74 19 29.9 0.268 31 1 0
6 80 80 36 39.8 0.177 28 0 1 2 127 46 21 34.4 0.176 22 0 0
2 93 64 32 38 0.674 23 1 0 5 126 78 27 29.6 0.439 40 0 0
10 129 62 36 41.2 0.441 38 1 0 0 134 58 20 26.4 0.352 21 0 0
7 187 50 33 33.9 0.826 34 1 1 3 173 78 39 33.8 0.97 31 1 0
10 94 72 18 23.1 0.595 56 0 0 1 108 60 46 35.5 0.415 24 0 0
5 117 86 30 39.1 0.251 42 0 1 1 116 78 29 36.1 0.496 25 0 1
0 141 84 26 32.4 0.433 22 0 0 2 174 88 37 44.5 0.646 24 1 0
2 106 56 27 29 0.426 22 0 1 0 126 86 27 27.4 0.515 21 0 1
8 65 72 23 32 0.6 42 0 1 2 99 60 17 36.6 0.453 21 0 1
11 120 80 37 42.3 0.785 48 1 1 3 102 44 20 30.8 0.4 26 0 1
1 109 58 18 28.5 0.219 22 0 0 13 153 88 37 40.6 1.174 39 0 0
12 100 84 33 30 0.488 46 0 0 1 147 94 41 49.3 0.358 27 1 0
3 187 70 22 36.4 0.408 36 1 0 1 121 78 39 39 0.261 28 0 0
3 108 62 24 26 0.223 25 0 0 0 181 88 44 43.3 0.222 26 1 1
1 128 88 39 36.5 1.057 37 1 0 2 88 58 26 28.4 0.766 22 0 1
9 170 74 31 44 0.403 43 1 1 10 101 76 48 32.9 0.171 63 0 1
5 121 72 23 26.2 0.245 30 0 0 1 93 70 31 30.4 0.315 23 0 1
5 86 68 28 30.2 0.364 24 0 1 7 195 70 33 25.1 0.163 55 1 0
5 77 82 41 35.8 0.156 35 0 1 0 165 76 43 47.9 0.259 26 0 1
0 107 60 25 26.4 0.133 23 0 1 5 97 76 27 35.6 0.378 52 1 0
3 83 58 31 34.3 0.336 25 0 1 1 193 50 16 25.9 0.655 24 0 1
3 142 80 15 32.4 0.2 63 0 1 2 128 78 37 43.3 1.224 31 1 0
0 137 40 35 43.1 2.288 33 1 0 9 154 78 30 30.9 0.164 45 0 0
1 189 60 23 30.1 0.398 59 1 0 12 92 62 7 27.6 0.926 44 1 1
1 86 66 52 41.3 0.917 29 0 0 4 99 76 15 23.2 0.223 21 0 0
1 109 60 8 25.4 0.947 21 0 1 11 143 94 33 36.6 0.254 51 1 0
1 149 68 29 29.3 0.349 42 1 0 0 139 62 17 22.1 0.207 21 0 0
2 99 70 16 20.4 0.235 27 0 0 1 100 66 29 32 0.444 42 0 1
4 83 86 19 29.3 0.317 34 0 1 0 101 64 17 21 0.252 21 0 0
1 87 68 34 37.6 0.401 24 0 0 9 164 84 21 30.8 0.831 32 1 0
1 99 58 10 25.4 0.551 21 0 0 0 140 65 26 42.6 0.431 24 1 0
5 108 72 43 36.1 0.263 33 0 1 2 110 74 29 32.4 0.698 27 0 1
1 79 60 42 43.5 0.678 23 0 0 3 148 66 25 32.5 0.256 22 0 1
0 121 66 30 34.3 0.203 33 1 0 3 158 64 13 31.2 0.295 24 0 0
2 105 80 45 33.7 0.711 29 1 0 13 145 82 19 22.2 0.245 57 0 0
1 79 80 25 25.4 0.583 22 0 0 1 71 48 18 20.4 0.323 22 0 1
0 102 86 17 29.3 0.695 27 0 1 0 119 66 27 38.8 0.259 22 0 1
8 176 90 34 33.7 0.467 58 1 0 1 97 68 21 27.2 1.095 22 0 1
4 129 60 12 27.5 0.527 31 0 0 1 97 64 19 18.2 0.299 21 0 0
0 86 68 32 35.8 0.238 25 0 0 2 125 60 20 33.8 0.088 31 0 1
5 123 74 40 34.1 0.269 28 0 0 2 92 76 20 24.2 1.698 28 0 0
3 171 72 33 33.3 0.199 24 1 0 1 199 76 43 42.9 1.394 22 1 1
3 116 74 15 26.3 0.107 24 0 0 2 83 66 23 32.2 0.497 22 0 0
8 154 78 32 32.4 0.443 45 1 0 1 114 66 36 38.1 0.289 21 0 1
1 106 70 28 34.2 0.142 22 0 1 4 127 88 11 34.5 0.598 28 0 0
1 124 74 36 27.8 0.1 30 0 0 1 109 38 18 23.1 0.407 26 0 0
2 123 48 32 42.1 0.52 26 0 0 8 167 106 46 37.6 0.165 43 1 1
7 184 84 33 35.5 0.355 41 1 0 1 96 64 27 33.2 0.289 21 0 1
10 129 76 28 35.9 0.28 39 0 0 6 92 62 32 32 0.085 46 0 0
6 109 60 27 25 0.206 27 0 0 5 139 80 35 31.6 0.361 25 1 0
6 134 70 23 35.4 0.542 29 1 0 3 106 54 21 30.9 0.292 24 0 1
0 131 66 40 34.3 0.196 22 1 0 0 135 94 46 40.6 0.284 26 0 1
5 158 84 41 39.4 0.395 29 1 0 3 112 74 30 31.6 0.197 25 1 1
8 181 68 36 30.1 0.615 60 1 0 2 121 70 32 39.1 0.886 23 0 0
1 168 88 29 35 0.905 52 1 1 1 144 82 46 46.1 0.335 46 1 0
2 101 58 17 24.2 0.614 23 0 1 2 96 68 13 21.1 0.647 26 0 0
3 107 62 13 22.9 0.678 23 1 0 12 121 78 17 26.5 0.259 62 0 0
2 100 64 23 29.7 0.368 21 0 1 4 154 72 29 31.3 0.338 37 0 1
6 125 78 31 27.6 0.565 49 1 0 10 125 70 26 31.1 0.205 41 1 1
2 122 76 27 35.9 0.483 26 0 1 2 114 68 22 28.7 0.092 25 0 0
1 115 70 30 34.6 0.529 32 1 0 7 114 76 17 23.8 0.466 31 0 0
2 115 64 22 30.8 0.421 21 0 1 1 130 60 23 28.6 0.692 21 0 0
1 79 75 30 32 0.396 22 0 0 4 112 78 40 39.4 0.236 38 0 0
7 150 78 29 35.2 0.692 54 1 1 1 91 54 25 25.2 0.234 23 0 1
1 100 72 12 25.3 0.658 28 0 0 12 140 82 43 39.2 0.528 58 1 1
4 110 76 20 28.4 0.118 27 0 1 2 94 76 18 31.6 0.649 23 0 0
2 84 50 23 30.4 0.968 21 0 0 10 148 84 48 37.6 1.001 51 1 0
3 61 82 28 34.4 0.243 46 0 1 4 117 62 12 29.7 0.38 30 1 0
3 99 80 11 19.3 0.284 30 0 1 3 80 82 31 34.2 1.292 27 1 1
4 154 62 31 32.8 0.237 23 0 0 6 103 72 32 37.7 0.324 55 0 0
6 111 64 39 34.2 0.26 24 0 1 0 124 70 20 27.4 0.254 36 1 0
1 143 74 22 26.2 0.256 21 0 0 1 81 74 41 46.3 1.096 32 0 1
4 189 110 31 28.5 0.68 37 0 0 4 116 72 12 22.1 0.463 37 0 0
7 103 66 32 39.1 0.344 31 1 1 8 124 76 24 28.7 0.687 52 1 1
1 71 78 50 33.2 0.422 21 0 1 0 137 84 27 27.3 0.231 59 0 0
9 112 82 32 34.2 0.26 36 1 0 4 148 60 27 30.9 0.15 29 1 0
1 136 74 50 37.4 0.399 24 0 0 9 145 80 46 37.9 0.637 40 1 0
1 93 56 11 22.5 0.417 22 0 0 1 107 72 30 30.8 0.821 24 0 0
12 151 70 40 41.8 0.742 38 1 1 1 97 70 40 38.1 0.218 30 0 0
5 144 82 26 32 0.452 58 1 0 2 112 86 42 38.4 0.246 28 0 0
2 99 52 15 24.6 0.637 21 0 1 1 109 56 21 25.2 0.833 23 0 1
1 120 80 48 38.9 1.162 41 0 1 7 187 68 39 37.7 0.254 41 1 0
3 129 92 49 36.4 0.968 32 1 1 7 179 95 31 34.2 0.164 60 0 0
6 80 66 30 26.2 0.313 41 0 0 2 105 58 40 34.9 0.225 25 0 0
3 191 68 15 30.9 0.299 34 0 0 0 95 80 45 36.5 0.33 26 0 0
4 99 72 17 25.6 0.294 28 0 1 0 137 68 14 24.8 0.143 21 0 0
1 97 70 15 18.2 0.147 21 0 0 0 100 88 60 46.8 0.962 31 0 0
1 167 74 17 23.4 0.447 33 1 0 0 180 90 26 36.5 0.314 35 1 1
2 122 70 27 36.8 0.34 27 0 1 1 90 62 12 27.2 0.58 24 0 0
3 120 70 30 42.9 0.452 30 0 0 6 154 78 41 46.1 0.571 27 0 0
2 56 56 28 24.2 0.332 22 0 0 0 177 60 29 34.6 1.072 21 1 0
3 124 80 33 33.2 0.305 26 0 1 8 85 55 20 24.4 0.136 42 0 0
12 88 74 40 35.3 0.378 48 0 1 9 152 78 34 34.2 0.893 33 1 0
0 198 66 32 41.3 0.502 28 1 1 0 188 82 14 32 0.682 22 1 0
5 139 64 35 28.6 0.411 26 0 0 7 168 88 42 38.2 0.787 40 1 0
2 197 70 99 34.7 0.575 62 1 0 2 142 82 18 24.7 0.761 21 0 1
8 126 74 38 25.9 0.162 39 0 1 3 158 76 36 31.6 0.851 28 1 1
3 130 78 23 28.4 0.323 34 1 0 2 100 54 28 37.8 0.498 24 0 0
1 164 82 43 32.8 0.341 50 0 1 4 95 60 32 35.4 0.284 28 0 0
2 122 52 43 36.2 0.816 28 0 0 4 85 58 22 27.8 0.306 28 0 0
0 151 90 46 42.1 0.371 21 1 0 6 144 72 27 33.9 0.255 40 0 1
3 111 90 12 28.4 0.495 29 0 1 1 107 68 19 26.5 0.165 24 0 0
6 115 60 39 33.7 0.245 40 1 0 5 105 72 29 36.9 0.159 28 0 0
7 194 68 28 35.9 0.745 41 1 0 4 184 78 39 37 0.264 31 1 1
0 95 85 25 37.4 0.247 24 1 0 7 124 70 33 25.5 0.161 37 0 0
1 111 62 13 24 0.138 23 0 1 7 137 90 41 32 0.391 39 0 0
9 57 80 37 32.8 0.096 41 0 1 2 157 74 35 39.4 0.134 30 0 0
2 95 54 14 26.1 0.748 22 0 0 12 140 85 33 37.4 0.244 41 0 1
0 117 66 31 30.8 0.493 22 0 0 8 100 74 40 39.4 0.661 43 1 0
9 123 70 44 33.1 0.374 40 0 1 0 138 60 35 34.6 0.534 21 1 0
14 100 78 25 36.6 0.412 46 1 0 14 175 62 30 33.6 0.212 38 1 1
0 74 52 10 27.8 0.269 22 0 0 1 133 102 28 32.8 0.234 45 1 0
0 119 64 18 34.9 0.725 23 0 0 5 155 84 44 38.7 0.619 34 0 1
1 128 48 45 40.5 0.613 24 1 0 2 112 68 22 34.1 0.315 26 0 0
1 140 74 26 24.1 0.828 23 0 1 2 141 58 34 25.4 0.699 24 0 1
7 129 68 49 38.5 0.439 43 1 1 0 106 70 37 39.4 0.605 22 0 0
1 118 58 36 33.3 0.261 23 0 1 8 155 62 26 34 0.543 46 1 0
;
data Pima;
set Pima;
Result = Diabetes;
if Test=1 then Result=.;
run;
proc hplogistic data=Pima;
model Diabetes(event='1') = NPreg Glucose Pressure Triceps
BMI Pedigree Age;
partition role=Test(test='1' train='0');
run;
proc gampl data=Pima seed=12345;
model Result(event='1') = spline(NPreg) spline(Glucose)
spline(Pressure) spline(Triceps)
spline(BMI) spline(Pedigree)
spline(Age) / dist=binary;
run;
ods graphics on;
proc gampl data=Pima plots seed=12345;
model Result(event='1') = spline(Glucose)
spline(Pedigree) spline(Age) / dist=binary;
output out=PimaOut;
id Diabetes Test;
run;
data test;
set PimaOut(where=(Test=1));
if ((Pred>0.5 & Diabetes=1) | (Pred<0.5 & Diabetes=0))
then Error=0;
else Error=1;
run;
proc freq data=test;
tables Diabetes*Error/nocol norow;
run;