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This lecture introduces Canonical Correlation Analysis (CCA), a method to find linear combinations of variables from two sets to maximize correlation. CCA reveals relationships between two sets of variables, extending multiple regression. The lecture covers mathematical development, properties, and applications of CCA in multivariate statistics.