# predict.bagEarth

0th

Percentile

##### Predicted values based on bagged Earth and FDA models

Predicted values based on bagged Earth and FDA models

Keywords
regression
##### Usage
predict.bagEarth(object, newdata = NULL, ...)
predict.bagFDA(object, newdata = NULL, type = "class", ...)
##### Arguments
object
Object of class inheriting from bagEarth
newdata
An optional data frame or matrix in which to look for variables with which to predict. If omitted, the fitted values are used (see note below).
type
bagFDA only: if type = "class" is specified, a factor of class predictions (with the same levels as the original training outcome) are returned. If type = "probs", a matrix of class probabilities (i.e. vote rates) is
...
not used
##### Value

• a vector of predictions

##### Note

If the predictions for the original training set are needed, there are two ways to calculate them. First, the original data set can be predicted by each bagged earth model. Secondly, the predictions form each bootstrap sample could be used (but are more likely to overfit). If the original call to bagEarth or bagFDA had keepX = TRUE, the first method is used, otherwise the values are calculated via the second method.

bagEarth

##### Aliases
• predict.bagEarth
• predict.bagFDA
##### Examples
data(trees)
fit1 <- bagEarth(Volume ~ ., data = trees, keepX = TRUE)
fit2 <- bagEarth(Volume ~ ., data = trees, keepX = FALSE)
hist(predict(fit1) - predict(fit2))
Documentation reproduced from package caret, version 3.08, License: GPL-2

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