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>).

Getting started

Package details

AuthorHiroyuki Yamamoto
MaintainerHiroyuki Yamamoto <h.yama2396@gmail.com>
LicenseLGPL-3
Version0.5.1
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("loadings")

Try the loadings package in your browser

Any scripts or data that you put into this service are public.

loadings documentation built on May 29, 2024, 8:01 a.m.