predict.enpls.fit: Make Predictions from a Fitted Ensemble Partial Least Squares...

In road2stat/enpls: Ensemble Partial Least Squares Regression

Description

Make predictions on new data by fitted enpls.fit object.

Usage

## S3 method for class 'enpls.fit'
predict(object, newx, method = c("mean", "median"), ...)

Arguments

object	An object of class enpls.fit.
newx	New data to predict with.
method	Use "mean" or "median" to create the final prediction.
...	Additional parameters for predict.

Value

A numeric vector containing the predicted values.

Author(s)

Nan Xiao <https://nanx.me>

See Also

See enpls.fit for fitting ensemble partial least squares regression models.

Examples

data("alkanes")
x <- alkanes$x
y <- alkanes$y

set.seed(42)
fit <- enpls.fit(x, y, reptimes = 50)
y.pred <- predict(fit, newx = x)
plot(y, y.pred, xlim = range(y), ylim = range(y))
abline(a = 0L, b = 1L)
y.pred.med <- predict(fit, newx = x, method = "median")
plot(y, y.pred.med, xlim = range(y), ylim = range(y))
abline(a = 0L, b = 1L)

road2stat/enpls documentation built on Dec. 30, 2021, 2:20 a.m.