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 <code>FALS</code>

reformat

Returns the linear predictor for the model data. See <code><a href="/link/predict.pffr?package=refund&version=0.1-11" rd-options="" data-mini-rdoc="refund::predict.pffr">predict.pffr</a></code>
for alternative options.

Methods for regression for functional
    data, including function-on-scalar, scalar-on-function, and
    function-on-function regression. Some of the functions are applicable to
    image data.

fitted.pffr: Obtain fitted values for a pffr fit

Description

Usage

Arguments

Value