ALS Multivariate curve resolution alternating least squares (MCR-ALS)
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resolution curve square multivariate multivariate analysis view multivariate dataset R function curve resolution data matrice nested multivariate analysis multivariate estimation multivariate space multivariate nonlinear data multivariate analytical softwar multivariate regression multivariate curve resolution ALS

ALS Description

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 uni-modality, 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. This package provides an R-function for multivariate curve resolution alternating least squares. Usage: als(CList, PsiList, S=matrix(), WList=list(), thresh =.001, maxiter=100, forcemaxiter = FALSE, optS1st=TRUE, x=1:nrow(CList]), x2=1:nrow(S), baseline=FALSE, fixed=vector("list", length(PsiList)), uniC=FALSE, uniS=FALSE, nonnegC = TRUE, nonnegS = TRUE, normS=0, closureC=list())

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