van den Wollenberg, A.L. Psychometrika (1977) 42: 207. doi:10.1007/BF02294050
A component method is presented maximizing Stewart and Love's redundancy index. Relationships with multiple correlation and principal component analysis are pointed out and a rotational procedure for obtaining bi-orthogonal variates is given. An elaborate example comparing canonical correlation analysis and redundancy analysis on artificial data is presented.
principal componentsgeneralized multiple correlation analysiscross battery principle component analysis