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Example 2 for PROC REG

/****************************************************************/
/*          S A S   S A M P L E   L I B R A R Y                 */
/*                                                              */
/*    NAME: regex2                                              */
/*   TITLE: Example 2 for PROC REG                              */
/*    DATA: Fitness                                             */
/* PRODUCT: STAT                                                */
/*  SYSTEM: ALL                                                 */
/*    KEYS: ODS Graphics, Variable Selection                    */
/*   PROCS: REG                                                 */
/*                                                              */
/* SUPPORT: Robert Cohen                                        */
/****************************************************************/
*-------------------Data on Physical Fitness-------------------*
| These measurements were made on men involved in a physical   |
| fitness course at N.C.State Univ. The variables are Age      |
| (years), Weight (kg), Oxygen intake rate (ml per kg body     |
| weight per minute), time to run 1.5 miles (minutes), heart   |
| rate while resting, heart rate while running (same time      |
| Oxygen rate measured), and maximum heart rate recorded while |
| running.                                                     |
| ***Certain values of MaxPulse were changed for this analysis.|
*--------------------------------------------------------------*;
data fitness;
   input Age Weight Oxygen RunTime RestPulse RunPulse MaxPulse @@;
   datalines;
44 89.47 44.609 11.37 62 178 182   40 75.07 45.313 10.07 62 185 185
44 85.84 54.297  8.65 45 156 168   42 68.15 59.571  8.17 40 166 172
38 89.02 49.874  9.22 55 178 180   47 77.45 44.811 11.63 58 176 176
40 75.98 45.681 11.95 70 176 180   43 81.19 49.091 10.85 64 162 170
44 81.42 39.442 13.08 63 174 176   38 81.87 60.055  8.63 48 170 186
44 73.03 50.541 10.13 45 168 168   45 87.66 37.388 14.03 56 186 192
45 66.45 44.754 11.12 51 176 176   47 79.15 47.273 10.60 47 162 164
54 83.12 51.855 10.33 50 166 170   49 81.42 49.156  8.95 44 180 185
51 69.63 40.836 10.95 57 168 172   51 77.91 46.672 10.00 48 162 168
48 91.63 46.774 10.25 48 162 164   49 73.37 50.388 10.08 67 168 168
57 73.37 39.407 12.63 58 174 176   54 79.38 46.080 11.17 62 156 165
52 76.32 45.441  9.63 48 164 166   50 70.87 54.625  8.92 48 146 155
51 67.25 45.118 11.08 48 172 172   54 91.63 39.203 12.88 44 168 172
51 73.71 45.790 10.47 59 186 188   57 59.08 50.545  9.93 49 148 155
49 76.32 48.673  9.40 56 186 188   48 61.24 47.920 11.50 52 170 176
52 82.78 47.467 10.50 53 170 172
;
proc reg data=fitness;
   model Oxygen=Age Weight RunTime RunPulse RestPulse MaxPulse
         / selection=forward;
   model Oxygen=Age Weight RunTime RunPulse RestPulse MaxPulse
         / selection=backward;
   model Oxygen=Age Weight RunTime RunPulse RestPulse MaxPulse
         / selection=maxr;
run;
ods graphics on;

proc reg data=fitness plots=(criteria sbc);
   model Oxygen=Age Weight RunTime RunPulse RestPulse MaxPulse
         / selection=forward details=summary;
run;
proc reg data=fitness plots=(criteria(label) cp);
   model Oxygen=Age Weight RunTime RunPulse RestPulse MaxPulse
         / selection=rsquare cp;
   title 'Physical fitness data: all models';
run;
proc reg data=fitness plots(only)=cp(label);
   model Oxygen=Age Weight RunTime RunPulse RestPulse MaxPulse
         / selection=cp best=20;
run;

ods graphics off;