This package implements two algorithms for canonical correlation analysis (CCA) that are based on iterated regression steps. By choosing the appropriate regression algorithm for each data modality, it is possible to enforce sparsity, nonnegativity or other kinds of constraints on the projection vectors. Multiple canonical variables are computed sequentially using a generalized deflation scheme, where the additional correlation not explained by previous variables is maximized. 'nscancor' is used to analyze paired data from two domains, and has the same interface as the 'cancor' function from the 'stats' package (plus some extra parameters). 'mcancor' is appropriate for analyzing data from three or more domains.
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Author  Christian Sigg [aut, cre], R Core team [aut] 
Date of publication  20140717 23:46:07 
Maintainer  Christian Sigg <christian@siggiten.ch> 
License  GPL (>= 2) 
Version  0.6 
URL  http://siggiten.ch/research/ 
Package repository  View on CRAN 
Installation  Install the latest version of this package by entering the following in R:

README.md 
Functions  

acor  Man page Source code 
cardinality  Man page Source code 
macor  Man page Source code 
mcancor  Man page Source code 
mcc_inner  Source code 
normv  Source code 
nscancor  Man page Source code 
nscc_inner  Source code 
Files  

inst
 
inst/nscancor_examples.R  
inst/mcancor_examples.R  
inst/CITATION
 
tests
 
tests/runall.R  
tests/testthat
 
tests/testthat/test_macor.R  
tests/testthat/test_acor.R  
tests/testthat/test_nscancor.R  
tests/testthat/test_mcancor.R  
NAMESPACE
 
R
 
R/nscancorpackage.R  
R/cardinality.R  
R/acor.R  
R/mcancor.R  
R/macor.R  
R/normv.R  
R/nscancor.R  
README.md  
MD5
 
DESCRIPTION
 
man
 
man/nscancor.Rd  
man/cardinality.Rd  
man/mcancor.Rd  
man/acor.Rd  
man/macor.Rd 
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