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CCA  

Canonical Correlation Analysis
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("CCA", "1.2.2")



Attach the package and use:
library("CCA")
Maintained by
Sébastien Déjean
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2007-02-20
Latest Update: 2023-09-05
Description:
Provides a set of functions that extend the 'cancor' function with new numerical and graphical outputs. It also include a regularized extension of the canonical correlation analysis to deal with datasets with more variables than observations.
How to cite:
Sébastien Déjean (2007). CCA: Canonical Correlation Analysis. R package version 1.2.2, https://cran.r-project.org/web/packages/CCA. Accessed 25 Jun. 2026.
Previous versions and publish date:
1.0 (2007-02-20 22:41), 1.1 (2007-03-20 10:38), 1.2.1 (2021-03-01 08:10), 1.2 (2012-10-29 13:13)
Other packages that cited CCA R package
View CCA citation profile
Other R packages that CCA depends, imports, suggests or enhances
Complete documentation for CCA
Functions, R codes and Examples using the CCA R package
Some associated functions: CCA-package . cc . comput . estim.regul . img.estim.regul . img.matcor . loo . matcor . nutrimouse . plt.cc . plt.indiv . plt.var . rcc . 
Some associated R codes: cc.R . comput.R . estim.regul.R . img.estim.regul.R . img.matcor.R . loo.R . matcor.R . plt.cc.R . plt.indiv.R . plt.var.R . rcc.R .  Full CCA package functions and examples
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