6M – Canonical Correlation Analysis

Canonical Correlation Analysis using BMDP Statistical Software Program 6M

Canonical correlation analysis determines the linear relationships between two sets of variables by finding coefficients for a linear combination of the x variables and another set of coefficients for the y variables such that the correlation between the two linear combinations (canonical variables) is maximized. 6M then derives more pairs of canonical variables that are independent of the previous pairs.

• Canonical correlation analysis for 2 sets of variables
• Bartlett’s test for significance of remaining eigenvalues
• Canonical variable loadings, scores, bivariate plots
• Option to use several forms of input
• View Program BMDP Program 6M Manual Chapter