KSA: Retained Component Criterion for Principal Component Analysis

The Retained Component Criterion for Principal Component Analysis (RCC_PCA) is a tool to determine the optimal number of components to retain in PCA.

Version:	0.1.0
Depends:	stats, graphics
Published:	2022-09-21
DOI:	10.32614/CRAN.package.KSA
Author:	Fayed Alshammri
Maintainer:	Dr. Fayed Alshammri <fayed333 at hotmail.com>
License:	GPL-2
NeedsCompilation:	no
CRAN checks:	KSA results

Documentation:

Reference manual:

KSA.html , KSA.pdf

Downloads:

Package source:	KSA_0.1.0.tar.gz
Windows binaries:	r-devel: KSA_0.1.0.zip, r-release: KSA_0.1.0.zip, r-oldrel: KSA_0.1.0.zip
macOS binaries:	r-release (arm64): KSA_0.1.0.tgz, r-oldrel (arm64): KSA_0.1.0.tgz, r-release (x86_64): KSA_0.1.0.tgz, r-oldrel (x86_64): KSA_0.1.0.tgz

Linking:

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