nipals
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) <doi:10.1089/cmb.2008.0221>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0 |
rolling linux/jammy R-4.5 | nipals_1.0.tar.gz |
104.6 KiB |
1.0 |
rolling linux/noble R-4.5 | nipals_1.0.tar.gz |
104.6 KiB |
1.0 |
rolling source/ R- | nipals_1.0.tar.gz |
128.1 KiB |
1.0 |
latest linux/jammy R-4.5 | nipals_1.0.tar.gz |
104.6 KiB |
1.0 |
latest linux/noble R-4.5 | nipals_1.0.tar.gz |
104.6 KiB |
1.0 |
latest source/ R- | nipals_1.0.tar.gz |
128.1 KiB |
1.0 |
2026-04-26 source/ R- | nipals_1.0.tar.gz |
128.1 KiB |
1.0 |
2026-04-23 source/ R- | nipals_1.0.tar.gz |
128.1 KiB |
1.0 |
2026-04-09 windows/windows R-4.5 | nipals_1.0.zip |
126.9 KiB |
1.0 |
2025-04-20 source/ R- | nipals_1.0.tar.gz |
128.1 KiB |