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plsmod  

Model Wrappers for Projection Methods
View on CRAN: Click here


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

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

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



Attach the package and use:
library("plsmod")
Maintained by
Max Kuhn
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-04-14
Latest Update: 2022-09-06
Description:
Bindings for additional regression models for use with the 'parsnip' package, including ordinary and spare partial least squares models for regression and classification (Rohart et al (2017) ).
How to cite:
Max Kuhn (2020). plsmod: Model Wrappers for Projection Methods. R package version 1.0.0, https://cran.r-project.org/web/packages/plsmod. Accessed 07 Jun. 2026.
Previous versions and publish date:
0.0.1 (2020-04-14 16:50), 0.1.0 (2020-10-07 07:10), 0.1.1 (2020-10-28 06:30), 0.1.2 (2022-02-07 23:50), 0.2.0 (2022-03-09 16:00)
Other packages that cited plsmod R package
View plsmod citation profile
Other R packages that plsmod depends, imports, suggests or enhances
Complete documentation for plsmod
Functions, R codes and Examples using the plsmod R package
Some associated functions: multi_predict . pls_fit . plsmod-package . reexports . tidy.mixo_pls . 
Some associated R codes: 0_imports.R . pls_data.R . plsmod-package.R . predict.R . tidiers.R . wrapper.R .  Full plsmod package functions and examples
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