cocorresp: Co-correspondence analysis methods
Version 0.2-1

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 communitities.

Package details

AuthorOriginal 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.
Date of publication2013-12-12 23:11:44
MaintainerGavin L. Simpson <>
Package repositoryView on R-Forge
Installation Install the latest version of this package by entering the following in R:
install.packages("cocorresp", repos="")

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cocorresp documentation built on May 21, 2017, 1:07 a.m.