loadings
Loadings for Principal Component Analysis and Partial Least Squares
Computing statistical hypothesis testing for loading in principal component analysis (PCA) (Yamamoto, H. et al. (2014) doi:10.1186/1471-2105-15-51), orthogonal smoothed PCA (OS-PCA) (Yamamoto, H. et al. (2021) doi:10.3390/metabo11030149), one-sided kernel PCA (Yamamoto, H. (2023) doi:10.51094/jxiv.262), partial least squares (PLS) and PLS discriminant analysis (PLS-DA) (Yamamoto, H. et al. (2009) doi:10.1016/j.chemolab.2009.05.006), PLS with rank order of groups (PLS-ROG) (Yamamoto, H. (2017) doi:10.1002/cem.2883), regularized canonical correlation analysis discriminant analysis (RCCA-DA) (Yamamoto, H. et al. (2008) doi:10.1016/j.bej.2007.12.009), multiset PLS and PLS-ROG (Yamamoto, H. (2022) doi:10.1101/2022.08.30.505949).
- Version0.5.1
- R versionunknown
- LicenseLGPL-3
- Needs compilation?No
- Last release05/01/2024
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Team
Hiroyuki Yamamoto
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