cocorresp: Co-Correspondence Analysis Methods

Fits predictive and symmetric co-correspondence analysis (CoCA) models to relate one data matrix to another data matrix. More specifically, CoCA maximises the weighted covariance between the weighted averaged species scores of one community and the weighted averaged species scores of another community. CoCA attempts to find patterns that are common to both communities.

Version: 0.4-4
Depends: vegan (≥ 2.5-0), R (≥ 3.4.0)
Imports: stats, graphics, utils, grDevices
Suggests: testthat, knitr, rmarkdown, pls
Published: 2024-02-26
DOI: 10.32614/CRAN.package.cocorresp
Author: Original Matlab routines by C.J.F. ter Braak and A.P. Schaffers. R port by Gavin L. Simpson. Function simpls based on (package pls) by Ron Wehrens and Bjorn-Helge Mevik.
Maintainer: Gavin L. Simpson <ucfagls at>
License: GPL-2
NeedsCompilation: no
Citation: cocorresp citation info
Materials: README ChangeLog
In views: Environmetrics, Psychometrics
CRAN checks: cocorresp results


Reference manual: cocorresp.pdf
Vignettes: Introduction to Co-correspondence Analysis


Package source: cocorresp_0.4-4.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): cocorresp_0.4-4.tgz, r-oldrel (arm64): cocorresp_0.4-4.tgz, r-release (x86_64): cocorresp_0.4-4.tgz, r-oldrel (x86_64): cocorresp_0.4-4.tgz
Old sources: cocorresp archive


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