ALS: multivariate curve resolution alternating least squares
(MCR-ALS)
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.
| Version: |
0.0.4 |
| Depends: |
nnls (≥ 1.1), Iso |
| Published: |
2010-11-25 |
| Author: |
Katharine M. Mullen |
| Maintainer: |
Katharine M. Mullen <kmullen at nist.gov> |
| License: |
GPL (≥ 2) |
| In views: |
ChemPhys |
| CRAN checks: |
ALS results |
Downloads:
Reverse dependencies: