Classification and Regression Training CRAN Task View: HighPerformanceComputing (http://CRAN.R-project.org/view=HighPerformanceComputing) CRAN Task View: MachineLearning (http://CRAN.R-project.org/view=MachineLearning) CRAN Task View: Multivariate (http://CRAN.R-project.org/view=Multivariate) Misc functions for training and plotting classification and regression models Software Depends: R (>= 2.10), lattice, reshape, stats, plyr, cluster,foreach Suggests: gbm, pls, mlbench, rpart, ellipse, ipred, klaR, randomForest, gpls, pamr, kernlab, mda, mgcv, nnet, class, MASS, mboost, earth (>= 2.2-3), party (>= 0.9-99992), ada, affy, proxy, e1071, grid, elasticnet, SDDA, caTools, RWeka (>= 0.4-1), superpc, penalized, sparseLDA (>= 0.1-1), spls, sda, glmnet (>= 1.7.1), relaxo, lars, vbmp, nodeHarvest, rrcov, gam, stepPlr, GAMens (>= 1.1.1), rocc, foba, partDSA, hda, fastICA, neuralnet, quantregForest, rda, HDclassif, LogicReg, LogicForest, logicFS, RANN, qrnn, Boruta, Hmisc, Cubist, bst, leaps, obliqueRF, rrlda, evtree, penalizedLDA, rFerns, pROC, kohonen, RSNNS, RRF, KRLS Max Kuhn <Max.Kuhn@pfizer.com> Max Kuhn. Contributions from Jed Wing, Steve Weston, Andre Williams, Chris Keefer and Allan Engelhardt GPL-2 2012-03-20 application/tgz http://CRAN.R-project.org/package=caret