Regression Options for PROC CANCORR

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 /*          S A S   S A M P L E   L I B R A R Y                 */
 /*                                                              */
 /*    NAME: CANCOREG                                            */
 /*   TITLE: Regression Options for PROC CANCORR                 */
 /* PRODUCT: SAS/STAT                                            */
 /*  SYSTEM: ALL                                                 */
 /*    KEYS: multivariate analysis, regression                   */
 /*   PROCS: CANCORR                                             */
 /*    DATA:                                                     */
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 /* SUPPORT: saswfk                      UPDATE: January 2010    */
 /*     REF:                                                     */
 /*    MISC:                                                     */
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title 'Canonical Correlation Analysis of Fitness Club Data';

data fit;
   input Weight Waist Pulse Chins Situps Jumps;
   datalines;
191  36  50   5  162   60
189  37  52   2  110   60
193  38  58  12  101  101
162  35  62  12  105   37
189  35  46  13  155   58
182  36  56   4  101   42
211  38  56   8  101   38
167  34  60   6  125   40
176  31  74  15  200   40
154  33  56  17  251  250
169  34  50  17  120   38
166  33  52  13  210  115
154  34  64  14  215  105
247  46  50   1   50   50
193  36  46   6   70   31
202  37  62  12  210  120
176  37  54   4   60   25
157  32  52  11  230   80
156  33  54  15  225   73
138  33  68   2  110   43
;

proc cancorr data=fit short vdep wdep smc stb t probt
   vprefix=PHYS vname='Physiological Measurements'
   wprefix=EXER wname='Exercises';
   var weight waist pulse;
   with chins situps jumps;
   title2 'Middle-aged Men in a Health Fitness Club';
   title3 'Data Courtesy of Dr. A. C. Linnerud, NC State Univ.';
run;