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groc  

Generalized Regression on Orthogonal Components
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("groc", "1.0.10")



Attach the package and use:
library("groc")
Maintained by
Pierre Lafaye De Micheaux
[Scholar Profile | Author Map]
First Published: 2014-02-01
Latest Update: 2024-02-25
Description:
Robust multiple or multivariate linear regression, nonparametric regression on orthogonal components, classical or robust partial least squares models as described in Bilodeau, Lafaye De Micheaux and Mahdi (2015) .
How to cite:
Pierre Lafaye De Micheaux (2014). groc: Generalized Regression on Orthogonal Components. R package version 1.0.10, https://cran.r-project.org/web/packages/groc. Accessed 10 Apr. 2025.
Previous versions and publish date:
1.0.1 (2014-02-02 08:26), 1.0.2 (2014-05-13 14:57), 1.0.4 (2014-06-30 10:59), 1.0.5 (2015-05-07 22:26), 1.0.6 (2018-05-10 14:16), 1.0.7 (2020-02-07 02:10), 1.0.8 (2020-12-18 08:30), 1.0.9 (2024-02-25 06:00), 1.0 (2014-02-01 09:23)
Other packages that cited groc R package
View groc citation profile
Other R packages that groc depends, imports, suggests or enhances
Complete documentation for groc
Functions, R codes and Examples using the groc R package
Some associated functions: cookie . corrob . covRob-robust . covRob.control . covrob . dcov . delete.intercept . groc.crossval . groc.fit . groc . model.frame.groc . plot.groc . predict.groc . prim7 . summary.groc . 
Some associated R codes: dependencemeasures.R . extract.R . groc.R . summaries.R .  Full groc package functions and examples
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