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guidedPLS  

Supervised Dimensional Reduction by Guided Partial Least Squares
View on CRAN: Click here


Download and install guidedPLS package within the R console
Install from CRAN:
install.packages("guidedPLS")

Install from Github:
library("remotes")
install_github("cran/guidedPLS")

Install by package version:
library("remotes")
install_version("guidedPLS", "1.0.0")



Attach the package and use:
library("guidedPLS")
Maintained by
Koki Tsuyuzaki
[Scholar Profile | Author Map]
First Published: 2023-03-22
Latest Update: 2023-05-12
Description:
Guided partial least squares (guided-PLS) is the combination of partial least squares by singular value decomposition (PLS-SVD) and guided principal component analysis (guided-PCA). For the details of the methods, see the reference section of GitHub README.md .
How to cite:
Koki Tsuyuzaki (2023). guidedPLS: Supervised Dimensional Reduction by Guided Partial Least Squares. R package version 1.0.0, https://cran.r-project.org/web/packages/guidedPLS. Accessed 20 Feb. 2025.
Previous versions and publish date:
0.99.0 (2023-03-22 10:30)
Other packages that cited guidedPLS R package
View guidedPLS citation profile
Other R packages that guidedPLS depends, imports, suggests or enhances
Complete documentation for guidedPLS
Functions, R codes and Examples using the guidedPLS R package
Some associated functions: PLSSVD . dummyMatrix . guidedPLS-package . guidedPLS . sPLSDA . softThr . toyModel . 
Some associated R codes: PLSSVD.R . guidedPLS-internal.R . guidedPLS.R . sPLSDA.R . toyModel.R .  Full guidedPLS package functions and examples
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