Singular Values Decomposition based PCA algorithm

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Description

Computes principal component space using Singular Values Decomposition

Usage

1
pca.svd(x, ncomp = NULL)

Arguments

x

a matrix with data values (preprocessed)

ncomp

number of components to calculate

Value

a list with scores, loadings and eigencalues for the components

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