fitted.pffr

object

logical, defaults to TRUE. Should
  residuals be returned in <code>n x yindex</code> matrix form
  (default for regular grid data) or in the shape of the
  originally supplied <code>ydata</code> argument or (default for
  sparse/irregular data), or, if 

reformat

Returns the linear predictor for the model data. See
<code><a href="/link/predict.pffr?package=refund&version=0.1-1" rd-options="" data-mini-rdoc="refund::predict.pffr">predict.pffr</a></code> for alternative options.

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.

fitted.pffr: Obtain fitted values for a pffr fit

Description

Usage

Arguments

Value