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RCCPCA  

"Retained Component Criterion for Principal Component Analysis"
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("RCCPCA", "0.1.0")



Attach the package and use:
library("RCCPCA")
Maintained by
Dr. Fayed Alshammri
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-10-05
Latest Update: 2021-10-05
Description:
The RCC_PCA criterion is a tool to determine the optimal number of components to retain in PCA;See Alshammri (2021).
How to cite:
Dr. Fayed Alshammri (2021). RCCPCA: "Retained Component Criterion for Principal Component Analysis". R package version 0.1.0, https://cran.r-project.org/web/packages/RCCPCA. Accessed 08 Mar. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited RCCPCA R package
View RCCPCA citation profile
Other R packages that RCCPCA depends, imports, suggests or enhances
Complete documentation for RCCPCA
Functions, R codes and Examples using the RCCPCA R package
Some associated functions: RCC_PCA . 
Some associated R codes: RCC_PCA.R .  Full RCCPCA package functions and examples
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