Predict.matrix.pi.smooth

a <code>pi.smooth</code> object created by
<code><a href="/link/smooth.construct.pi.smooth.spec?package=refund&version=0.1-1" rd-options="" data-mini-rdoc="refund::smooth.construct.pi.smooth.spec">smooth.construct.pi.smooth.spec</a></code>, see
<code><a href="/link/smooth.construct?package=refund&version=0.1-1&to=mgcv" rd-options="mgcv" data-mini-rdoc="mgcv::smooth.construct">smooth.construct</a></code>

object

see <code><a href="/link/smooth.construct?package=refund&version=0.1-1&to=mgcv" rd-options="mgcv" data-mini-rdoc="mgcv::smooth.construct">smooth.construct</a></code>

data

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.matrix.pi.smooth: Predict.matrix method for pi basis

Description

Usage

Arguments

Value