CANDISC Procedure
The CANDISC procedure performs a canonical discriminant analysis, computes squared Mahalanobis distances between class means,
and performs both univariate and multivariate one-way 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
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- 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
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For further details see the CANDISC Procedure
Examples