model.matrix.pffr

object

other arguments, passed to <code><a href="/link/predict.gam?package=refund&version=0.1-1&to=mgcv" rd-options="mgcv" data-mini-rdoc="mgcv::predict.gam">predict.gam</a></code>.

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.

model.matrix.pffr: Obtain model matrix for a pffr fit

Description

Usage

Arguments

Value