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) <doi:10.1089/cmb.2008.0221>.
Package details |
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Maintainer | |
License | MIT + file LICENSE |
Version | 0.9 |
URL | https://kwstat.github.io/nipals/ |
Package repository | View on GitHub |
Installation |
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