Functions for computing and visualizing generalized canonical discriminant analyses and canonical correlation analysis for a multivariate linear model. Traditional canonical discriminant analysis is restricted to a oneway 'MANOVA' design and is equivalent to canonical correlation analysis between a set of quantitative response variables and a set of dummy variables coded from the factor variable. The 'candisc' package generalizes this to higherway 'MANOVA' designs for all factors in a multivariate linear model, computing canonical scores and vectors for each term. The graphic functions provide lowrank (1D, 2D, 3D) visualizations of terms in an 'mlm' via the 'plot.candisc' and 'heplot.candisc' methods. Related plots are now provided for canonical correlation analysis when all predictors are quantitative.
Package details 


Author  Michael Friendly [aut, cre], John Fox [aut] 
Maintainer  Michael Friendly <friendly@yorku.ca> 
License  GPL (>= 2) 
Version  0.86 
Package repository  View on CRAN 
Installation 
Install the latest version of this package by entering the following in R:

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