Canonical correlation analysis (CCA) is a method to analyze correlations between two sets of variables. It finds linear combinations of variables in each set such that their correlation is maximal.

Canonical correlation analysis (CCA) is a multivariate statistical technique that analyzes two sets of variables and looks for correlations between them. CCA finds linear combinations of variables in each set such that their correlation is maximal. These two linear combinations form one pair of "canonical variates". CCA then proceeds to find subsequent pairs, constrained to be uncorrelated with the previous ones.

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