Canonical correlation, also known in statistics as canonical-correlation analysis (CCA), is utilized as a means of making sense of cross-variance matrices. This high level statistical procedure which is the general procedure for investigating the relationships between two sets of variables. The method was first introduced by Harold Hotelling in 1936.