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rpls  

Robust Partial Least Squares
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("rpls", "0.6.0")



Attach the package and use:
library("rpls")
Maintained by
Peter Filzmoser
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-03-08
Latest Update: 2020-05-07
Description:
A robust Partial Least-Squares (PLS) method is implemented that is robust to outliers in the residuals as well as to leverage points. A specific weighting scheme is applied which avoids iterations, and leads to a highly efficient robust PLS estimator.
How to cite:
Peter Filzmoser (2020). rpls: Robust Partial Least Squares. R package version 0.6.0, https://cran.r-project.org/web/packages/rpls. Accessed 21 Nov. 2024.
Previous versions and publish date:
0.4.0 (2020-03-08 19:10)
Other packages that cited rpls R package
View rpls citation profile
Other R packages that rpls depends, imports, suggests or enhances
Complete documentation for rpls
Functions, R codes and Examples using the rpls R package
Some associated functions: PRM . pramml . ramml . 
Some associated R codes: PRM.R . pramml.R . ramml.R .  Full rpls package functions and examples
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