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
||stats, graphics, vegan|
||Original Matlab routines by C.J.F. ter Braak and A.P.
Schaffers. R port by Gavin L. Simpson. Function simpls based on
simpls.fit (package pls) by Ron Wehrens and Bjorn-Helge Mevik.|
||Gavin L. Simpson <gavin.simpson at ucl.ac.uk>|
||cocorresp citation info |
||Environmetrics, Multivariate, Psychometrics|