**************************************************** *** Changes for R-package plsdof *** *** Nicole Kraemer *** **************************************************** --- Version 0.2-8 (August 27, 2018) Package orphaned, maintainer changed. --- Version 0.2-7 (September 04, 2014) Updated maintainer's email address. --- Version 0.2-6 (March 19, 2013) --- - Cross-validation is now based on mean squared error as well as on the correlation to the response. - Instead of cross-validation based on a random split, the split can also be specified using the groups option in the functions pls.cv, pcr.cv, and ridge.cv. - You can specify if you want to compute the jackknife coefficients. For very high-dimensional data sets, we recommend to set conpute.jackknife to FALSE. - Supervised PCR: You can choose if you want to sort the principal components in pcr and pcr.cv according to their squared correlation to the response. --- Version 0.2-5 (February 06, 2013) --- - The runtime for pcr and pcr.cv is improved, especially in the p>>n scenario. (1) Instead of an eigen decomposition of t(X)%*%X, a singular value decomposition of X is used. (2) It is possible to specify the maximum number of principal components