enpls (version 6.1.1)

predict.enspls.fit: Make Predictions from a Fitted Sparse Ensemble Partial Least Squares Model

Description

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

Usage

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

Value

A numeric vector containing the predicted values.

Arguments

object

An object of class enspls.fit.

newx

New data to predict with.

method

Use "mean" or "median" to create the final prediction.

...

Additional parameters for predict.

Author

Nan Xiao <https://nanx.me>

See Also

See enspls.fit for fitting ensemble sparse partial least squares regression models.

Examples

data("logd1k")
x <- logd1k$x
y <- logd1k$y

set.seed(42)
fit <- enspls.fit(x, y, reptimes = 5, maxcomp = 2)
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)