The data frame for the original fit. Usually, shouldn't be needed.
what
What to compute fitted values of. The default, what="coef", works
with the fitted curve itself. Other choices include "nlx" for the
length of the weight diagram; "infl" for the influence function;
"band" for the bandwidth; "degr" for the local polynomial
degree; "lik" for the maximized local likelihood; "rdf"
for the local residual degrees of freedom and "vari" for the
variance function. The interpolation algorithm for some of these quantities
is questionable.
cv
If TRUE, leave-one-out cross validated fitted values are approximated.
Won't make much sense, unless what="coef".
studentize
If TRUE, residuals are studentized.
type
Type of fit or residuals to compute. The default is "fit" for
fitted.locfit, and "dev" for residuals.locfit.
Other choices include "pear" for Pearson residuals; "raw"
for raw residuals, "ldot" for likelihood derivative;
"d2" for the deviance residual squared; lddot for the
likelihood second derivative. Generally, type should only be
used when what="coef".