/usr/share/gretl/data/data7-24.gdt is in gretl-data 2016d-1.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
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 | <?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE gretldata SYSTEM "gretldata.dtd">
<gretldata version="1.3" name="data7-24" frequency="1" startobs="1" endobs="224" type="cross-section">
<description>
DATA7-24
Data on the sale price and characteristics of homes in the Dove Canyon
and Coto de Caza areas of Orange County, California, compiled by Jody
Schimmel. Dove Canyon is a neighborhod built around a golf course
with single family tract homes with relatively small lots. Coto de
Caza is a more upscale area. It is more rural with large custom
homes, some with horse corrals.
salepric = sale price in thousands of dollars
sqft = living area in square feet
bedrms = number of bed rooms
baths = number of baths
garage = number of car spaces
age = age of house in years
city = 1 for Coto de Caza and 0 for Dove Canyon
</description>
<variables count="7">
<variable name="salepric"
label="sale price in thousands of dollars"
/>
<variable name="sqft"
label="living area in square feet"
/>
<variable name="bedrms"
label="number of bedrooms"
discrete="true"
/>
<variable name="baths"
label="number of baths"
/>
<variable name="garage"
label="number of car spaces"
discrete="true"
/>
<variable name="age"
label="age of house in years"
/>
<variable name="city"
label="1 for Coto de Caza and 0 for Dove Canyon"
discrete="true"
/>
</variables>
<observations count="224" labels="false">
<obs>350 2583 4 4 3 5 0 </obs>
<obs>360 3308 4 3 3 3 0 </obs>
<obs>365 2926 5 3 3 2 0 </obs>
<obs>372 3050 4 4 3 8 0 </obs>
<obs>373 3528 4 3.5 3 3 0 </obs>
<obs>373 2830 4 2.75 3 4 0 </obs>
<obs>375 3521 4 4.5 3 7 0 </obs>
<obs>349 3003 5 3.5 3 4 0 </obs>
<obs>380 3230 4 3.5 3 8 0 </obs>
<obs>380 3230 4 3.5 3 7 0 </obs>
<obs>380 3230 4 3.5 3 7 0 </obs>
<obs>380 2900 4 3 3 7 0 </obs>
<obs>380 3080 5 4 3 3 0 </obs>
<obs>370 3080 4 4 3 3 0 </obs>
<obs>380 3525 5 3.5 3 4 0 </obs>
<obs>385 3050 4 4 3 7 0 </obs>
<obs>385 3050 4 4 3 8 0 </obs>
<obs>389 3528 4 3.5 3 4 0 </obs>
<obs>390 2680 4 3 3 3 0 </obs>
<obs>390 3500 4 3.5 3 8 0 </obs>
<obs>390 3521 4 4.5 3 7 0 </obs>
<obs>390 2700 4 3 3 2 0 </obs>
<obs>392 2662 4 3 3 4 0 </obs>
<obs>392 3371 5 4.5 3 3 0 </obs>
<obs>392 3371 5 4.5 3 4 0 </obs>
<obs>393 3371 4 4.5 3 3 0 </obs>
<obs>395 2900 5 3 3 4 0 </obs>
<obs>395 3275 4 3.5 3 8 0 </obs>
<obs>399 3080 5 4 3 2 0 </obs>
<obs>400 3155 4 4.5 3 3 0 </obs>
<obs>400 3155 4 4.5 3 3 0 </obs>
<obs>400 3308 4 3.5 3 7 0 </obs>
<obs>399.9 3371 4 4.5 3 2 0 </obs>
<obs>400 3050 4 4 3 7 0 </obs>
<obs>401 2789 4 3.5 3 4 0 </obs>
<obs>402.5 3275 4 3.5 3 7 0 </obs>
<obs>405 3180 4 4 3 8 0 </obs>
<obs>405 3512 4 3.5 3 8 0 </obs>
<obs>407 3275 4 3.5 3 6 0 </obs>
<obs>410 3512 4 3.5 3 8 0 </obs>
<obs>410 2789 4 3.5 3 4 0 </obs>
<obs>412 3371 4 4.5 3 3 0 </obs>
<obs>412 3275 4 4.5 3 6 0 </obs>
<obs>415.984 3155 4 3.5 3 3 0 </obs>
<obs>416 3757 5 4.5 3 2 0 </obs>
<obs>418 3275 4 3 3 7 0 </obs>
<obs>419.95 3879 5 3.5 3 2 0 </obs>
<obs>425 3275 4 4.5 3 5 0 </obs>
<obs>425 3515 4 3.5 3 2 0 </obs>
<obs>426 3700 4 4.5 3 5 0 </obs>
<obs>430 3110 4 3.5 3 9 0 </obs>
<obs>430 3770 4 2.75 3 9 0 </obs>
<obs>432 3512 4 3.5 3 7 0 </obs>
<obs>432 3371 5 4.5 3 2 0 </obs>
<obs>434 3367 4 4.5 3 8 0 </obs>
<obs>435 3700 4 3.5 3 5 0 </obs>
<obs>439.402 3515 4 3.5 3 2 0 </obs>
<obs>440 3770 4 4.5 3 7 0 </obs>
<obs>440 3413 5 3.5 3 2 0 </obs>
<obs>565 3500 5 3.5 3 3 0 </obs>
<obs>605 3757 5 4.5 3 2 0 </obs>
<obs>609.9 3757 4 3 3 7 0 </obs>
<obs>620 3879 5 4.5 3 3 0 </obs>
<obs>653 4035 6 4.5 3 2 0 </obs>
<obs>670 4035 5 4.5 3 2 0 </obs>
<obs>440 3525 5 3.5 3 4 0 </obs>
<obs>445 3308 4 3.5 3 6 0 </obs>
<obs>459.9 3528 4 3.5 3 4 0 </obs>
<obs>449.96 3515 4 4.5 3 2 0 </obs>
<obs>450 3371 4 4.5 3 4 0 </obs>
<obs>450 3528 4 3.5 3 4 0 </obs>
<obs>459.5 3757 5 3 3 2 0 </obs>
<obs>460 2600 2 2.5 2 3 0 </obs>
<obs>549.95 2879 5 4.5 3 3 0 </obs>
<obs>460 4000 4 4 3 5 0 </obs>
<obs>462 3757 5 3 3 2 0 </obs>
<obs>449.9 3500 5 4.5 4 3 0 </obs>
<obs>464.82 3515 4 4.5 3 2 0 </obs>
<obs>464.9 3308 4 3.5 3 6 0 </obs>
<obs>465 3100 4 4 3 8 0 </obs>
<obs>457.325 3879 5 4.5 3 2 0 </obs>
<obs>449.95 3515 4 4.5 3 3 0 </obs>
<obs>475 3929 4 3.5 3 5 0 </obs>
<obs>475 4000 4 4 3 6 0 </obs>
<obs>419.95 3879 5 4.5 3 2 0 </obs>
<obs>479.95 4136 5 4.5 3 2 0 </obs>
<obs>480 3512 4 4.5 3 9 0 </obs>
<obs>482.75 3879 5 4.5 3 2 0 </obs>
<obs>489.95 3879 5 4.5 3 2 0 </obs>
<obs>490 4035 6 4.5 3 2 0 </obs>
<obs>495 3500 5 4.5 4 4 0 </obs>
<obs>497.5 3770 4 3.5 3 8 0 </obs>
<obs>499.9 4035 6 4.5 3 2 0 </obs>
<obs>500 3800 4 3.5 3 8 0 </obs>
<obs>510 4035 6 4.5 3 2 0 </obs>
<obs>510 3500 4 4.5 4 4 0 </obs>
<obs>514.9 4018 4 3.5 3 8 0 </obs>
<obs>514.9 3308 4 3.5 3 8 0 </obs>
<obs>527.5 3757 5 3 3 2 0 </obs>
<obs>535 4035 6 4.5 3 2 0 </obs>
<obs>535 3879 5 4.5 3 3 0 </obs>
<obs>539 3854 4 4.5 3 3 0 </obs>
<obs>539 3500 5 4.5 3 4 0 </obs>
<obs>547 4035 6 4.5 3 2 0 </obs>
<obs>552 4136 5 4.5 3 3 0 </obs>
<obs>556.7 3700 5 4.5 4 3 0 </obs>
<obs>480 2865 4 2.5 3 11 1 </obs>
<obs>485 3384 5 4 3 5 1 </obs>
<obs>485 3568 5 4.5 3 8 1 </obs>
<obs>487 3384 5 4.5 3 4 1 </obs>
<obs>490 3305 5 4.5 3 9 1 </obs>
<obs>492 3227 4 3.5 3 4 1 </obs>
<obs>495 3295 4 4 3 8 1 </obs>
<obs>504 3259 4 3.5 3 5 1 </obs>
<obs>505 3668 4 3.5 3 7 1 </obs>
<obs>517 3685 4 4.5 3 9 1 </obs>
<obs>520 3350 5 2.75 3 3 1 </obs>
<obs>525 2800 4 2.5 3 11 1 </obs>
<obs>526 3170 4 3 3 8 1 </obs>
<obs>529 3300 4 3 3 9 1 </obs>
<obs>530 3475 4 3.5 3 11 1 </obs>
<obs>530 3380 5 4.5 3 9 1 </obs>
<obs>531.05 3620 5 4.5 3 1 1 </obs>
<obs>532.5 3305 5 4.5 3 9 1 </obs>
<obs>535 3475 4 2.5 2 19 1 </obs>
<obs>535 3305 5 4.5 3 8 1 </obs>
<obs>535 3900 4 3.5 3 8 1 </obs>
<obs>540 4389 5 4.5 3 8 1 </obs>
<obs>540 3305 5 4 3 9 1 </obs>
<obs>545 3500 4 3.5 3 11 1 </obs>
<obs>547.5 3369 4 3.5 3 10 1 </obs>
<obs>571 3485 4 3.5 3 11 1 </obs>
<obs>550 3920 5 3.5 3 6 1 </obs>
<obs>555 3475 4 3.5 3 10 1 </obs>
<obs>555 3781 4 3.5 3 8 1 </obs>
<obs>560 2735 4 2.75 3 11 1 </obs>
<obs>560 3390 4 4.5 3 8 1 </obs>
<obs>560 3700 4 4.5 3 9 1 </obs>
<obs>562 3668 5 4.5 3 7 1 </obs>
<obs>565 4089 5 3.5 2 8 1 </obs>
<obs>565 4170 5 4.5 3 1 1 </obs>
<obs>570 2812 4 3 3 10 1 </obs>
<obs>570 4010 4 4.5 3 9 1 </obs>
<obs>570 3379 4 4.5 3 9 1 </obs>
<obs>575 3920 5 4.5 3 5 1 </obs>
<obs>575 3865 4 4.5 3 12 1 </obs>
<obs>575 4579 5 3.5 3 8 1 </obs>
<obs>580 3968 4 4.5 4 2 1 </obs>
<obs>580 3750 4 3 4 8 1 </obs>
<obs>583 4000 5 3.5 3 8 1 </obs>
<obs>585 3457 4 3 3 9 1 </obs>
<obs>589 3400 5 4.5 3 9 1 </obs>
<obs>590 3427 4 3.5 3 2 1 </obs>
<obs>591 4500 4 3.5 3 8 1 </obs>
<obs>597.5 3970 4 4.5 3 9 1 </obs>
<obs>600 4818 5 4 3 10 1 </obs>
<obs>600 4600 6 5 3 6 1 </obs>
<obs>600 3685 4 4.5 3 8 1 </obs>
<obs>600 3457 4 3.5 3 11 1 </obs>
<obs>610 3700 4 3.5 3 8 1 </obs>
<obs>620 4100 5 4 3 1 1 </obs>
<obs>625 4300 4 3.5 3 2 1 </obs>
<obs>625 3820 5 4.5 3 5 1 </obs>
<obs>627.5 4160 4 4.5 3 1 1 </obs>
<obs>629.9 3712 6 5.5 3 1 1 </obs>
<obs>640 4200 5 4.5 3 7 1 </obs>
<obs>645 4000 4 3.5 3 7 1 </obs>
<obs>651 4500 5 3.5 3 9 1 </obs>
<obs>657 3818 4 4 3 13 1 </obs>
<obs>663 3885 3 4.5 4 2 1 </obs>
<obs>675 3968 4 4.5 3 2 1 </obs>
<obs>690 4839 5 3.5 3 9 1 </obs>
<obs>695 3637 5 4.5 3 2 1 </obs>
<obs>700 4335 4 4.5 3 2 1 </obs>
<obs>700 4300 4 3.5 3 3 1 </obs>
<obs>710 4870 5 4.5 3 7 1 </obs>
<obs>712.95 4459 5 4.5 4 0 1 </obs>
<obs>720 3741 4 3.5 3 10 1 </obs>
<obs>730 4400 5 4.5 3 8 1 </obs>
<obs>730 4500 5 4.5 3 2 1 </obs>
<obs>740 4579 5 3.5 3 8 1 </obs>
<obs>749 3450 4 3.5 3 8 1 </obs>
<obs>750 4402 4 4.5 3 9 1 </obs>
<obs>750 4350 4 3.5 3 6 1 </obs>
<obs>760 4400 5 4 3 8 1 </obs>
<obs>765 4600 5 4 3 2 1 </obs>
<obs>774.95 4024 4 3.5 4 0 1 </obs>
<obs>780 3900 5 4.5 3 2 1 </obs>
<obs>795 3900 4 4.5 3 4 1 </obs>
<obs>814 4000 5 4.5 3 7 1 </obs>
<obs>842 4569 5 4.5 3 7 1 </obs>
<obs>880 4581 4 4.5 3 2 1 </obs>
<obs>885 5000 5 5.5 3 6 1 </obs>
<obs>920 5000 5 4.5 5 8 1 </obs>
<obs>925 4650 4 5.5 4 2 1 </obs>
<obs>925 4300 5 3.5 3 9 1 </obs>
<obs>925 4400 5 4 3 7 1 </obs>
<obs>944 4387 5 4.5 4 1 1 </obs>
<obs>981 4970 5 4.5 4 1 1 </obs>
<obs>985 5126 4 3.5 3 9 1 </obs>
<obs>994 5076 5 4.5 4 1 1 </obs>
<obs>2600 8685 6 5 5 16 1 </obs>
<obs>2900 11000 5 7.5 3 9 1 </obs>
<obs>1010 5517 5 5.5 4 1 1 </obs>
<obs>1100 5500 5 5 3 2 1 </obs>
<obs>1100 4900 4 4.5 3 2 1 </obs>
<obs>1112 5800 5 4.5 3 2 1 </obs>
<obs>1120 8300 6 5.5 3 7 1 </obs>
<obs>1135 5506 6 5.5 4 1 1 </obs>
<obs>1235 6000 6 5.5 5 5 1 </obs>
<obs>1350 5475 5 5.5 4 2 1 </obs>
<obs>1380 6649 7 5.5 3 5 1 </obs>
<obs>1395 5400 3 4.5 4 9 1 </obs>
<obs>1400 10000 6 8 4 3 1 </obs>
<obs>1400 5862 5 6.5 4 2 1 </obs>
<obs>1425 7000 6 4.5 3 9 1 </obs>
<obs>1475 6338 6 6.5 4 8 1 </obs>
<obs>1520 6593 6 7.5 5 2 1 </obs>
<obs>1600 7000 6 7.5 5 5 1 </obs>
<obs>1625 8300 6 6.5 4 8 1 </obs>
<obs>1750 7338 6 7.5 4 1 1 </obs>
<obs>1775 9500 6 5.5 4 8 1 </obs>
<obs>1800 7948 7 7.4 5 1 1 </obs>
<obs>2500.5 9000 7 7.5 7 11 1 </obs>
</observations>
</gretldata>
|