getPCA0: PCA using Jacobi algorithm or block algorithm.
In isglobal-brge/svdParallel: Parallel implementation of SVD

Description Usage Arguments Details Value Examples

Computation of the PCA of a matrix using function svd and the whole matrix.

1	getPCA0(x, center = TRUE, scale = TRUE)

`x`	a real nxp matrix
`center`	a logical value indicating whether the variables should be shifted to be zero centered
`scale`	a logical value indicating whether the variables should be scaled to have unit variance

Principal components and variance explained for each component.

a list with the coordinates of the variables (var.coord) and the idividuals (Y), the variance of each component and its percentage and the matrix of the principal components.