Principal Components Analysis using NIPALS with Gram-Schmidt Orthogonalization

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


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0.4 by Kevin Wright, 7 months ago

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Authors: Kevin Wright [aut, cre] (<>)

Documentation:   PDF Manual  

GPL-3 license

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Imported by gge.

See at CRAN