Dear R users, we proudly announce the latest release of our R package plsdof: Degrees of Freedom and Statistical Inference for Partial Least Squares.
Features include: * Degrees of Freedom estimates for Partial Least Squares (PLS) Regression * Model selection for PLS based on various information criteria and on cross-validation * approximate confidence intervals and significance tests for PLS regression coefficients * cross-validation for Ridge Regression and Principal Components Regression All implemented methods are explained in detail in Krämer & Sugiyama (2011) The Degrees of Freedom of Partial Least Squares Regression Journal of the American Statistical Association, 106 (494), 697 - 705 http://amstat.tandfonline.com/doi/abs/10.1198/jasa.2011.tm10107 Best regards, Nicole & Mikio -- Dr. Nicole Krämer Technische Universität München Zentrum Mathematik Lehrstuhl für Mathematische Statistik Boltzmannstr. 3 (postal address) / Parkring 13 (street address) 85748 Garching Tel.: +49 89 289 17426 Fax.: +49 89 289 17435 http://www-m4.ma.tum.de/personen/mitarbeiter/nicole-kraemer/ _______________________________________________ R-packages mailing list r-packa...@r-project.org https://stat.ethz.ch/mailman/listinfo/r-packages ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
