mcen (version 1.2.1)

predict.cv.mcen: Makes predictions from the model with the smallest cross-validation error.

Description

Makes predictions from the model with the smallest cross-validation error.

Usage

# S3 method for cv.mcen
predict(object, newx, ...)

Value

Returns the predicted values from the model with the smallest cross-validation error.

Arguments

object

The cv.mcen object.

newx

The X matrix of predictors.

...

Additional parameters to be sent to predict.

Author

Ben Sherwood <[e-mail]>, Brad Price <[e-mail]>

Examples

# \donttest{
x <- matrix(rnorm(400),ncol=4)
beta <- beta <- matrix(c(1,1,0,0,0,0,-1,-1,0,0,-1,-1,1,1,0,0),ncol=4)
y <- x%*%beta + rnorm(400) 
mcen_fit <- cv.mcen(x,y,ky=2,gamma_y=3)
new_x <- matrix(rnorm(12),ncol=4)
mcen_preds <- predict(mcen_fit, new_x)
# }