caret (version 5.07-001)

predictors: List predictors used in the model

Description

This class uses a model fit to determine which predictors were used in the final model.

Usage

predictors(x, ...)
## S3 method for class 'bagEarth':
predictors(x,  ...)
## S3 method for class 'bagFDA':
predictors(x,  ...)
## S3 method for class 'BinaryTree':
predictors(x, surrogate = TRUE,  ...)
## S3 method for class 'blackboost':
predictors(x,  ...)
## S3 method for class 'classbagg':
predictors(x, surrogate = TRUE,  ...)
## S3 method for class 'dsa':
predictors(x,  cuts = NULL, ...)
## S3 method for class 'earth':
predictors(x,  ...)
## S3 method for class 'fda':
predictors(x,  ...)
## S3 method for class 'foba':
predictors(x,  k = NULL, ...)
## S3 method for class 'formula':
predictors(x,  ...)
## S3 method for class 'gam':
predictors(x,  ...)
## S3 method for class 'gamboost':
predictors(x,  ...)
## S3 method for class 'gausspr':
predictors(x,  ...)
## S3 method for class 'gbm':
predictors(x,  ...)
## S3 method for class 'glm':
predictors(x,  ...)
## S3 method for class 'glmboost':
predictors(x,  ...)
## S3 method for class 'glmnet':
predictors(x,  lambda = NULL, ...)
## S3 method for class 'gpls':
predictors(x,  ...)
## S3 method for class 'knn3':
predictors(x,  ...)
## S3 method for class 'knnreg':
predictors(x,  ...)
## S3 method for class 'ksvm':
predictors(x,  ...)
## S3 method for class 'lars':
predictors(x,  s = NULL, ...)
## S3 method for class 'lda':
predictors(x,  ...)
## S3 method for class 'list':
predictors(x,  ...)
## S3 method for class 'lm':
predictors(x,  ...)
## S3 method for class 'logforest':
predictors(x,  ...)
## S3 method for class 'logicBagg':
predictors(x,  ...)
## S3 method for class 'LogitBoost':
predictors(x,  ...)
## S3 method for class 'logreg':
predictors(x,  ...)
## S3 method for class 'lssvm':
predictors(x,  ...)
## S3 method for class 'mda':
predictors(x,  ...)
## S3 method for class 'multinom':
predictors(x,  ...)
## S3 method for class 'mvr':
predictors(x,  ...)
## S3 method for class 'NaiveBayes':
predictors(x,  ...)
## S3 method for class 'nnet':
predictors(x,  ...)
## S3 method for class 'pamrtrained':
predictors(x, newdata = NULL, threshold = NULL, ...)
## S3 method for class 'pcaNNet':
predictors(x,  ...)
## S3 method for class 'penfit':
predictors(x,  ...)
## S3 method for class 'ppr':
predictors(x, ...)
## S3 method for class 'qda':
predictors(x,  ...)
## S3 method for class 'randomForest':
predictors(x,  ...)
## S3 method for class 'RandomForest':
predictors(x, ...)
## S3 method for class 'rda':
predictors(x,  ...)
## S3 method for class 'regbagg':
predictors(x, surrogate = TRUE,  ...)
## S3 method for class 'rfe':
predictors(x,  ...)
## S3 method for class 'rpart':
predictors(x, surrogate = TRUE,  ...)
## S3 method for class 'rvm':
predictors(x,  ...)
## S3 method for class 'sbf':
predictors(x,  ...)
## S3 method for class 'sda':
predictors(x,  ...)
## S3 method for class 'slda':
predictors(x,  ...)
## S3 method for class 'smda':
predictors(x,  ...)
## S3 method for class 'spls':
predictors(x,  ...)
## S3 method for class 'splsda':
predictors(x,  ...)
## S3 method for class 'superpc':
predictors(x, newdata = NULL, threshold = NULL, n.components = NULL, ...)
## S3 method for class 'terms':
predictors(x,  ...)
## S3 method for class 'train':
predictors(x,  ...)
## S3 method for class 'trocc':
predictors(x,  ...)
## S3 method for class 'Weka_classifier':
predictors(x,  ...)

Value

• a character string of predictors or NA.

Details

For randomForest, cforest, ctree, rpart, ipredbagg, bagging, earth, fda, pamr.train, superpc.train, bagEarth and bagFDA, an attempt was made to report the predictors that were actually used in the final model.

In cases where the predictors cannot be determined, NA is returned. For example, nnet may return missing values from predictors.