% 1st column group (0 high income, 1 low income) % 2nd column gender (0 male, 1 female) % 3rd column age in months 0 1 120 0 0 128 0 0 130 0 1 126 0 1 95 0 0 107 0 0 87 0 1 114 0 0 168 0 1 212 0 1 221 0 0 135 0 0 185 0 0 120 0 0 126 0 0 175 0 0 113 0 1 105 0 1 116 0 0 80 0 0 213 0 0 151 0 0 74 0 0 83 0 0 112 0 0 193 0 1 143 0 0 164 0 0 152 0 1 93 0 0 147 0 0 175 0 0 216 0 0 86 0 1 140 0 0 86 0 0 122 0 0 224 0 0 138 0 0 156 0 1 207 0 0 82 0 0 206 0 0 75 0 0 80 0 0 96 0 1 158 0 0 172 0 0 72 0 1 96 0 0 146 0 1 148 0 0 140 0 0 122 0 0 143 0 0 61 0 0 184 0 0 127 0 1 159 0 0 154 0 0 221 0 0 213 0 1 106 0 1 134 0 1 145 0 0 195 0 0 64 0 0 181 0 0 215 0 0 78 0 0 159 0 1 124 0 0 176 0 1 96 0 1 135 0 0 103 0 1 92 0 0 158 0 0 203 0 0 192 0 0 161 0 1 150 0 0 211 0 0 192 0 0 80 0 0 150 1 0 167 1 1 123 1 0 102 1 1 205 1 0 142 1 0 83 1 0 136 1 1 98 1 0 180 1 1 114 1 1 90 1 0 62 1 0 200 1 1 94 1 1 152 1 0 204 1 0 157 1 0 132 1 0 171 1 0 133 1 0 201 1 0 80 1 0 101 1 1 150 1 1 103 1 1 120 1 0 206 1 0 144 1 0 66 1 0 79 1 1 245 1 0 112 1 1 119 1 1 128 1 0 153 1 0 128 1 0 171 1 0 189