dataset = buxton2 begin description This data set consists of 76 = 88 - 12 data points selected from a table in Buxton, L.H.D. (1920) ``The Journal of the Royal Anthropological Institute of Great Britain and Ireland," 50, 183-235. Contributed by David Olive. Observation 9, etc have been deleted because of missing values 9 1757 1445 650 195 -1 109 76.41 31 1773 -1 -1 169 47 112 91.72 36 1690 -1 -1 175 52 108 90.86 48 1790 -1 -1 173 57 92 80.35 62 18 -1 -1 1755 53 102 86.63 63 18 -1 -1 1537 44 124 79.01 64 19 -1 -1 1650 55 90 76.09 65 19 -1 -1 1675 47 107 88.2 66 19 -1 -1 1610 48 104 83.63 76 1710 -1 -1 184 49 113 84.78 85 1661 -1 -1 182 46 108 84.32 86 1790 -1 -1 173 57 92 80.35 Observations 62 to 66 are gross outliers but lms, lts, and lta accomodate them. I wanted to predict height using x2, but the gross outliers have missing values for this predictor and predictor x1 (the best predictors for y). The author recorded stature under head length and under stature the value 18 or 19 for the outliers. I entered missing values with a -1. end description begin variables Co1 0 = Obs Co1 1 = height = y = height in mm Col 2 = sternal height = x1 = height to shoulder in mm Col 3 = finger to ground = x2 = tip of middle finger from ground in mm Col 4 = head length = x3 in mm Col 5 = nasal height = x4 in mm Col 6 = bigonal breadth = x5 in mm Col 7 = cephalic index = x6 end variables begin data 1 1720 1417 700 168 51 104 89.29 2 1698 1400 586 176 55 106 83.52 3 1727 1440 630 179 55 104 83.8 4 1739 1417 633 176 46 114 88.64 5 1622 1334 623 177 48 101 80.79 6 1684 1375 652 175 54 102 88.57 7 1583 1312 590 170 48 116 90.0 8 1697 1400 661 177 54 110 85.88 10 1711 1425 650 179 51 97 83.24 11 1672 1352 657 178 50 107 83.59 12 1617 1430 617 171 51 108 85.96 13 1772 1474 693 189 61 114 83.07 14 1792 1474 662 183 57 115 80.87 15 1696 1422 681 190 51 108 82.63 16 1656 1388 638 180 54 103 87.22 17 1770 1387 679 173 55 108 83.82 18 1617 1334 650 180 50 109 81.67 19 1679 1399 710 178 50 110 83.15 20 1631 1351 631 179 53 97 84.92 21 1814 1494 687 178 57 108 83.71 22 1668 1377 584 188 45 105 77.66 23 1796 1482 690 173 60 102 90.75 24 1620 1320 602 182 45 105 81.32 25 1587 1312 645 162 45 92 86.42 26 1735 1420 654 187 63 108 79.68 27 1670 1352 620 189 49 110 79.37 28 1672 1384 610 170 49 118 86.47 29 1660 1385 654 176 50 112 85.23 30 1610 1318 582 173 50 103 86.71 32 1571 1292 556 172 43 105 91.28 33 1763 1461 663 178 58 109 85.39 34 1635 1346 680 173 55 114 89.6 35 1613 1317 637 185 51 106 86.49 37 1770 1485 673 176 52 110 86.36 38 1771 1478 657 184 54 104 80.98 39 1640 1374 650 184 47 106 78.8 40 1770 1480 680 182 56 108 82.97 41 1740 1432 630 178 50 108 86.52 42 1683 1393 610 175 51 112 85.71 43 1696 1394 649 189 52 110 76.72 44 1730 1420 644 174 50 109 85.63 45 1722 1424 659 173 46 103 93.06 46 1637 1360 630 178 49 99 85.39 47 1716 1404 670 186 49 110 78.49 49 1694 1420 685 168 56 117 90.48 50 1742 1447 658 172 52 107 87.79 51 1712 1419 698 185 47 106 82.70 52 1637 1352 681 175 53 103 79.43 53 1645 1354 675 196 55 108 73.68 54 1715 1393 646 181 54 111 79.01 55 1610 1312 620 177 51 108 80.79 56 1700 1387 655 173 54 93 84.39 57 1664 1366 587 171 47 100 88.89 58 1723 1426 653 184 46 103 83.7 59 1755 1458 638 178 59 100 79.78 60 1697 1460 596 174 54 110 83.33 61 1670 1350 691 181 55 106 75.69 67 1786 1481 712 175 44 111 86.29 68 1685 1361 619 183 53 112 79.23 69 1750 1453 673 180 49 97 81.11 70 1587 1319 652 187 50 115 79.68 71 1686 1394 631 181 59 112 85.64 72 1663 1390 610 176 51 102 86.36 73 1693 1400 631 185 58 101 79.46 74 1750 1460 670 191 49 105 80.1 75 1598 1310 626 179 45 103 78.21 77 1590 1300 616 172 56 105 87.79 78 1790 1508 661 175 58 105 85.14 79 1758 1466 662 179 53 103 87.15 80 1835 1540 703 177 48 105 85.31 81 1720 1445 684 167 52 107 95.21 82 1684 1386 675 179 57 114 85.47 83 1631 1334 622 170 55 103 88.82 84 1758 1468 628 170 56 105 87.06 87 1704 1391 654 185 55 107 85.41 88 1590 1300 610 189 50 110 74.60