OPTIONS LS=72;
TITLE 'EXAMPLE 14. MULTICOLLINEARITY IN LINEAR REGRESSION: MANHOURS DATA';
DATA MANHOURS;
INPUT Y X1 X2 X3 X4 X5 X6 X7;
CARDS;
 180.23    2.00     4.00    4.0   1.26    1     6     6
 182.61    3.00     1.58   40.0   1.25    1     5     5
 199.92    5.30     1.67   42.5   7.79    3    25    25
 284.55    7.00     2.37  168.0   1.00    1     7     8
 267.38   16.50     8.25  168.0   1.12    2    19    19
 164.38   16.60    23.78   40.0   1.00    1    13    13
 999.09   25.89     3.00   40.0   0.00    3    36    36
 931.84   31.92    40.80  168.0   5.52    6    47    47
 944.21   39.63    50.86   40.0  27.37   10    77    77
1103.24   44.42   159.75  168.0   0.60   18    48    48
1387.82   54.48   207.08   40.0   7.77    6    66    66
1489.50   56.63   373.42  168.0   6.03    4    36    37
1845.89   95.00   368.00  168.0  30.26    9   292   196
1891.70   96.67   206.67  168.0  17.86   14   120   120
1880.84   96.83   677.33  168.0  20.31   10   302   210
2268.06   97.33   255.08  168.0  19.00    6   165   130
3036.63  102.33   288.83  168.0  21.01   14   131   131
2628.32  110.24   410.00  168.0  20.05   12   115   115
3559.92  113.88   981.00  168.0  24.48    6   166   179
2227.76  134.32   145.82  168.0  25.99   12   192   192
3115.29  149.58   233.83  168.0  31.07   14   185   202
4804.24  188.74   937.00  168.0  45.44   26   237   237
5539.98  274.92   695.25  168.0  46.63   58   363   363
8266.77  384.50  1473.66  168.0   7.36   24   540   453
3534.49  811.08   714.33  168.0  22.76   17   242   242
;
PROC REG DATA=MANHOURS CORR;
MODEL Y=X1 X2 X3 X4 X5 X6 X7/COLLIN COLLINOINT VIF;
RUN;