nipals (0.7)

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Principal Components Analysis using NIPALS or Weighted EMPCA, with Gram-Schmidt Orthogonalization.

Principal Components Analysis of a matrix using Non-linear Iterative Partial Least Squares or weighted Expectation Maximization PCA with Gram-Schmidt orthogonalization of the scores and loadings. Optimized for speed. See Andrecut (2009) .

Maintainer: Kevin Wright
Author(s): Kevin Wright [aut, cre] (<>)

License: GPL-3

Uses: testthat, knitr, rmarkdown

Released 4 months ago.

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