Basis constructor for FPC terms
# S3 method for fpc.smooth.spec
smooth.construct(object, data, knots)An object of class "fpc.smooth". In addtional to the elements
listed in {smooth.construct}, the object will contain
the smooth that is fit in order to generate the basis matrix
over object$term
the matrix of principal components
a fpc.smooth.spec object, usually generated by a
term s(x, bs="fpc"); see Details.
a list containing the data (including any by variable)
required by this term, with names corresponding to object$term
(and object$by). Only the first element of this list is used.
not used, but required by the generic smooth.construct.
Jonathan Gellar JGellar@mathematica-mpr.com
object must contain an xt element. This is a list that can
contain the following elements:
(required) matrix of functional predictors
(required) the method of finding principal components;
options include "svd" (unconstrained), "fpca.sc",
"fpca.face", or "fpca.ssvd"
(optional) the number of PC's to retain
(only needed if npc not supplied) the percent variance
explained used to determine npc
(required) if FALSE, the smoothing parameter is
set to 0
the basis class used to pre-smooth X; default is "ps"
Any additional options for the pre-smoothing basis (e.g. k, m,
etc.) can be supplied in the corresponding elements of object.
See [mgcv]{s} for a full list of options.
Reiss, P. T., and Ogden, R. T. (2007). Functional principal component regression and functional partial least squares. Journal of the American Statistical Association, 102, 984-996.
{fpcr}