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pca.svd: Singular Values Decomposition based PCA algorithm
Description
Computes principal component space using Singular Values Decomposition
Usage
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