ALS: multivariate curve resolution alternating least squares
Alternating least squares is often used to resolve
components contributing to data with a bilinear structure; the
basic technique may be extended to alternating constrained
least squares. Commonly applied constraints include
unimodality, non-negativity, and normalization of components.
Several data matrices may be decomposed simultaneously by
assuming that one of the two matrices in the bilinear
decomposition is shared between datasets.
||nnls (≥ 1.1), Iso, R (≥ 2.10)
||Katharine M. Mullen
||Katharine Mullen <mullenkate at gmail.com>
||GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]