CANDISC Procedure
The CANDISC procedure performs a canonical discriminant analysis, computes squared Mahalanobis distances between class means,
and performs both univariate and multivariate oneway analyses of variance.
The procedure enables you to do the following:
 display both standardized and unstandardized canonical coefficients
 display correlations between the canonical variables and the original variables as well as the class means for the canonical variables
 test the hypothesis that each canonical correlation and all smaller canonical correlations are zero in the population
 create a data set that contains the canonical coefficients

 create a data set that contains scored canonical variables
 create a data set that corresponds to any output table
 perform BY group processing, which enables you to obtain separate analyses on grouped observations
 perform weighted analysis

For further details see the CANDISC Procedure
Examples