pca.svd: Singular Values Decomposition based PCA algorithm
Description
Computes principal component space using Singular Values Decomposition
Usage
pca.svd(x, ncomp = min(ncol(x), nrow(x) - 1))
Arguments
x
a matrix with data values (preprocessed)
ncomp
number of components to calculate
Value
a list with scores, loadings and eigenvalues for the components