Predict values for fit.InducerLm

Predict from the results of a linear model

Usage

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

Arguments

object

a linear model of class ModelLm

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.InducerLm()

Examples

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