# predict.bagEarth

From caret v4.25
by Max Kuhn

##### 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, type = "response", ...)
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
- The type of prediction. For bagged
`earth`

regression model,`type = "response"`

will produce a numeric vector of the usual model predictions.`earth<`

- ...
- 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.

##### See Also

##### 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 4.25, License: GPL-2*

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