gslcca: Generalized Semi-Linear Canonical Correlation Analysis

This is a package for Generalized Semi-linear Canonical Correlation Analysis (GSLCCA, described in Brain et al, 2011). GSLCCA estimates the parameters of a given nonlinear model to maximize the correlation with a linear combination of multiple response variables. This method was developed to characterize EEG power spectra under different treatment regimens in research and development projects at Pfizer.

AuthorFoteini Strimenopoulou, Heather Turner and Phil Brain
Date of publication2011-09-30 10:36:55
MaintainerHeather Turner <>
LicenseGPL (>= 2)

View on R-Forge

Files in this package

Questions? Problems? Suggestions? or email at

All documentation is copyright its authors; we didn't write any of that.