¥Redundancy analysis (van den Wollenberg 1977) RxyRyxakx = lkRxxakx (R matrices contain correlations)
–Related to PCA of instrumental variables and reduced rank regression
–Unlike CCA, MCA, one set of variables is treated as predictors, one as
responses
¥Principal predictors (Thacker 1999)
–Sxy[diag(Syy)]-1Syxakx=lkSxxakx
¥Conditional MCA (An, 2003)
¥Multivariate regression, combined PCA of x and y variables, separate PCAs of
x and y followed by CCA, partial least squares
and a number of others