Provides functions for multivariate analysis with compositional data. Includes a function for doing compositional canonical correlation analysis. This analysis requires two data matrices of compositions, which can be adequately transformed and used as entries in a specialized program for canonical correlation analysis, that is able to deal with singular covariance matrices. The methodology is described in Graffelman et al. (2017) <doi:10.1101/144584>. A function for logratio principal component analysis with condition number computations has been added to the package.
Package details 


Author  Jan Graffelman <jan.graffelman@upc.edu> 
Maintainer  Jan Graffelman <jan.graffelman@upc.edu> 
License  GPL (>= 2) 
Version  1.0.6 
URL  www.Rproject.org http://wwweio.upc.edu/~jan/ 
Package repository  View on CRAN 
Installation 
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