predict.wnet

a fitted <code><a href="/link/wnet?package=refund&version=0.1-1" rd-options="" data-mini-rdoc="refund::wnet">wnet</a></code> object.

object

matrix of new values for functional predictors.

newx

newcovt

Produces predicted values for a <code><a href="/link/wnet?package=refund&version=0.1-1" rd-options="" data-mini-rdoc="refund::wnet">wnet</a></code> object, given new functional predictors and scalar covariates.

Functions for regression with functional data.  The
        principal methods currently implemented are (1)
        functional-response/scalar-predictor regression by penalized
        OLS or GLS; and (2) functional principal component regression
        for scalar responses and functional predictors.

predict.wnet: Prediction method for generalized elastic net in the wavelet domain

Description

Usage

Arguments

Value

See Also