Concordance // The four functions svdcp (cp for column
partitioned), svdbip or svdbip2 (bip for bi-partitioned), and
svdbips (s for a simultaneous optimization of one set of r
solutions), correspond to a "SVD by blocks" notion, by
supposing each block depending on relative subspaces, rather
than on two whole spaces as usual SVD does. The other
functions, based on this notion, are relative to two column
partitioned data matrices x and y defining two sets of subsets
xi and yj of variables and amount to estimate a link between xi
and yj for the pair (xi, yj) relatively to the links associated
to all the other pairs.