Canonical Correlations Analysis
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Given a data set consisting of two separate sets of variables that have been measured on the same experimental units, Canonical Correlations Analysis may be used to obtain a quantitative measure of associations or relationships between the two sets.

The two sets of variables are denoted P and Q respectively. The analysis finds linear combinations of the P and Q variables, and the correlation between each pair of combinations.

Available Data

This lists variates that can be assigned to either the P or Q sets.

P-Set

This lists variates selected for the first set. The button can be used to copy over variates currently selected in Available Data, or you can type in variate names.

Q-Set

This lists variates selected for the second set. The button can be used to copy over variates currently selected in Available Data, or you can type in variate names.

See Also