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.

Author | Katharine M. Mullen |

Date of publication | 2015-08-03 11:44:35 |

Maintainer | Katharine Mullen <mullenkate@gmail.com> |

License | GPL (>= 2) |

Version | 0.0.6 |

**als:** alternating least squares multivariate curve resolution...

**internals:** MCR-ALS functions used internally

**matchFactor:** Matching factor functions to describe similarity of two...

**multiex:** Data inspired by GC mass spectrometry experiments

**multiex1:** Data inspired by GC mass spectrometry experiments

**plotS:** Plots a matrix representing mass spectra

ALS

ALS/inst

ALS/inst/doc

ALS/inst/doc/examples_chemo.zip

ALS/NAMESPACE

ALS/NEWS

ALS/data

ALS/data/multiex1.rda

ALS/data/multiex.rda

ALS/R

ALS/R/normdat.R
ALS/R/getWSListAllTimes.R
ALS/R/matchFactor.R
ALS/R/getWSList.R
ALS/R/barplot3.R
ALS/R/als.R
ALS/R/getC.R
ALS/R/getCList.R
ALS/R/plotSp.R
ALS/R/getS.R
ALS/MD5

ALS/DESCRIPTION

ALS/man

ALS/man/multiex.Rd
ALS/man/plotS.Rd
ALS/man/multiex1.Rd
ALS/man/internals.Rd
ALS/man/als.Rd
ALS/man/matchFactor.Rd
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