Canonical correlation

Canonical correlation captures the idea of calculating correlation between two sets of variables.

Given two vectors of random variables $X$ and $Y$ (not necessarily in the same dimension), canonical-correlation analysis (CCA) aims to detect $a$ and $b$ that maximize the correlation $\rho = \text{corr}(a^T X, b^T Y)$.