1. Multivariate Projection Methods - mpm is an R package by Paul Lewi and Luc Wouters for exploratory multivariate analysis of large data matrices, such as gene expression data from microarray experiments.
Development Status: 5 - Production/Stable [Filter]
2. The Degrees of Freedom of PLS - The package provides Degrees of Freedom of Partial Least Squares. Model selection based on information criteria can be performed.
Krämer & Braun (2007) Kernelizing PLS, Degrees of Freedom, and Efficient Model Selection, ICML-07, 441 - 448
3. candisc: Canonical discriminant analysis - The candisc package provides computational methods for generalized
canonical discriminant analysis and low-dimensional visualization via the related heplots package.
4. adephylo - The package 'adephylo' implements multivariate approaches for comparative data, i.e. data including one phylogeny and one or several traits.
5. Co-correspondence Analysis Methods - Cocorresp implements predictive and symmetric co-correspondence analysis (CoCA) models to relate one community matrix to another by maximising the weighted covariance of the weighted averaged species scores of the two communities.
Canonical Correlation
