importFrom("methods","setGeneric","setMethod")
importFrom("plotrix","color2D.matplot","color.legend")
importFrom("lattice","wireframe")
importFrom("nnet","nnet","multinom")
importFrom("MASS","lda","qda")
#importFrom("glmnet","glmnet")
importFrom("mda","mars")
importFrom("rpart","rpart","rpart.control")
importFrom("randomForest","randomForest","importance")
importFrom("adabag","bagging","boosting")
importFrom("party","ctree","ctree_control")
importFrom("Cubist","cubist","cubistControl")
importFrom("kknn","kknn","contr.dummy")
#import("kknn")
importFrom("kernlab","ksvm","rvm","sigest")
importFrom("e1071","naiveBayes")
importFrom("pls","pcr","plsr","cppls","pls.options")
export(	
       ## rminer high level functions (most relevant):
       "fit",
       # predict (included in methods, check ?predict.fit)
       "mining",
       "Importance",
       "mgraph",
       "vecplot",
       "mmetric",
       "metrics",
       "meanint",
       "centralpar",
       "loadmodel",
       "savemodel",
       "loadmining",
       "savemining",
       "agg_matrix_imp",
       "cmatrixplot",
       "imputation",
       "delevels",
       "holdout",
       "crossvaldata",

       ## time series:
       "CasesSeries", 
       "lforecast",
       "forplot",
       "tsplot",

       ## other functions, not that relevant:
       "mpause",
       "datalevels",
       "RECcurve",
       "ROCcurve",
       "rmboxplot",
       "s_measure",
       "factorize"
      )
exportMethods("predict")
exportClasses("model")
