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## S3 method for class 'pss.smooth.spec':
smooth.construct(object, data, knots)
smooth.construct
. The shrinkage factor can be speficied via object$xt$shrink
smooth.construct
.smooth.construct
.ff
terms.
See 'ts' or 'cs' in smooth.terms
for similar "shrinkage penalties" for thin plate and cubic regression splines.
The basic idea is to replace the k-th zero eigenvalue of the original penalty by
$s^k \nu_m$, where $s$ is the shrinkage factor (defaults to 0.1)
and $\nu_m$ is the smallest non-zero eigenvalue. See reference for the
original idea, implementation follows that in the 'ts' and 'cs' constructors
(see smooth.terms
).