Eigenanalysis of symmetrizable matrix products: a result with statistical applications

A theorem is proven which relates the matrices of eigenvalues and eigenvectors of matrix products AB7', ArB, BA', B'A if they are symmetrizable, that is if each product itself is expressible as the product of a symmetric and of a positive definite matrix. The result is used to derive properties of a number of different multivariate statistical techniques. Ke-,w,ords: canonical correlations, correspondence analysis. derived responses. eigenvalues, eigenvectors, principal components