Predict values for fit.InducerRpart

Predict from the results of a rpart model

Usage

# S3 method for ModelRpart
predict(object, newdata, ...)

Arguments

object

a linear model of class ModelRpart

newdata

data of class data.frame or Dataset

...

additional arguments

Value

An object with the predictions of class numeric or data.frame

See also

fit.InducerRpart()

Examples

cars.data <- Dataset(data = cars, target = "dist")
inducer <- InducerLm()
rpartfit <- fit.InducerRpart(.inducer = inducer, .data = cars.data)
#> Error in fit.InducerRpart(.inducer = inducer, .data = cars.data): could not find function "fit.InducerRpart"
predict.ModelRpart(object = rpartfit, newdata = data.frame(speed = 10))
#> Error in predict.ModelRpart(object = rpartfit, newdata = data.frame(speed = 10)): could not find function "predict.ModelRpart"
predict.ModelRpart(object = rpartfit, newdata = cars.data[c(1, 2, 3, 4), ])
#> Error in predict.ModelRpart(object = rpartfit, newdata = cars.data[c(1,     2, 3, 4), ]): could not find function "predict.ModelRpart"