A computer-assisted, K-fold crossvalidation technique is discussed wit
hin the framework of canonical correlation analysis of randomly genera
ted data sets. Results of the analysis suggest that this technique of
multi-crossvalidation can be an effective method to reduce the contami
nation of canonical variates and canonical correlations by sample-spec
ific variance components.