oem (version 1.02.1)

predict.oemfit: make predictions from a fitted "oemfit" object

Description

Similar to other predict methods, this function produces fitted values from a fitted "oemfit" object.

Usage

## S3 method for class 'oemfit'
"predict" (object, newx, s = NULL, type = c("response", "coefficients", "nonzero"), ...)

Arguments

object

fitted oemfit object.

newx

matrix of new values for x at which predictions are to be made. Must be a matrix.

s

Value(s) of the penalty parameter lambda at which predictions are required. Default is the entire sequence used to create the model.

type

not used.

...

additional predict arguments.

Value

Fitted response returned.

Details

Predicted values returned as a vector

References

Xiong, S., Dai, B. and Qian, P. Z. G. (2011), Orthogonalizing Penalized Regression, http://www.stat.wisc.edu/~zhiguang/OEM.pdf

See Also

oemfit, print.oemfit, plot.oemfit

Examples

x=matrix(rnorm(100*20),100,20)
y=rnorm(100)
fit <- oemfit(y~x)
newx=matrix(rnorm(50*20), 50, 20)
pred <- predict(fit, newx)