Under what circumstances would you select Canonical Correlation Analysis
instead of multiple regression as the appropriate statistical technique?
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Canonical correlation analysis is used to identify and measure the associations among two sets of variables. Canonical correlation is appropriate in the same situations where multiple regression would be, but where are there are multiple intercorrelated outcome variables.
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