
Determines the scores on the dependent and the independent canonical variates from the selected CCA and TableOfReal objects.
The scores on the dependent set are determined as T_{y} Y, where T_{y} is the dependent part in the table and Y is a matrix with numberOfCanonicalCorrelations eigenvectors for the dependent variate.
The scores for the independent variates are then determined in an analogous way as T_{x} X.
The scores for the dependent data will be in the lower numbered columns, the scores for the independent part will be in the higher numbered columns of the newly created object.
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