Diagonalizing U(m,n) determines the eigenvalues and
eigenvectors of U(m,n). The sum of the eigenvalues
is the trace of the U and is
an invariant corresponding
to the total variance. The diagonalization breaks the variance
into independent pieces and the eigenvalue is the variance in
each independent piece. The eigenvectors are the spatial
structures corresponding to each independent variance