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plsVarSel  

Variable Selection in Partial Least Squares
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("plsVarSel", "0.9.13")



Attach the package and use:
library("plsVarSel")
Maintained by
Kristian Hovde Liland
[Scholar Profile | Author Map]
First Published: 2016-03-30
Latest Update: 2023-01-12
Description:
Interfaces and methods for variable selection in Partial Least Squares. The methods include filter methods, wrapper methods and embedded methods. Both regression and classification is supported.
How to cite:
Kristian Hovde Liland (2016). plsVarSel: Variable Selection in Partial Least Squares. R package version 0.9.13, https://cran.r-project.org/web/packages/plsVarSel. Accessed 02 May. 2025.
Previous versions and publish date:
0.7 (2016-03-30 21:13), 0.8 (2016-06-15 21:52), 0.9.1 (2016-10-13 00:33), 0.9.2 (2017-11-09 18:30), 0.9.3 (2017-11-22 22:30), 0.9.4 (2017-12-15 18:48), 0.9.5 (2020-02-03 22:40), 0.9.6 (2020-04-03 10:40), 0.9.7 (2022-01-04 13:10), 0.9.8 (2022-07-16 09:30), 0.9.9 (2022-10-30 00:15), 0.9.10 (2023-01-12 10:20), 0.9.11 (2024-04-22 22:50), 0.9.12 (2024-05-22 13:50), 0.9 (2016-07-27 23:32)
Other packages that cited plsVarSel R package
View plsVarSel citation profile
Other R packages that plsVarSel depends, imports, suggests or enhances
Complete documentation for plsVarSel
Functions, R codes and Examples using the plsVarSel R package
Some associated functions: T2_pls . VIP . WVC_pls . bve_pls . covSel . filterPLSR . ga_pls . ipw_pls . lda_from_pls . lda_from_pls_cv . mcuve_pls . mvrV . myImagePlot . plsVarSel . rep_pls . setDA . shaving . simulate_classes . spa_pls . stpls . summary.mvrV . truncation . 
Some associated R codes: BVE.R . GA.R . IPW.R . REP.R . SPA.R . T2.R . UVE.R . WVC.R . covSel.R . filters.R . lda_from_pls.R . mvrV.R . plsVarSel.R . shaving.R . stpls.R . trunc.R . utilities.R .  Full plsVarSel package functions and examples
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