Local Regression Fitting (Interpolations by k-d Tree)
USAGE:
loess.ifit(interpolator, x.evaluate, parametric)
ARGUMENTS:
interpolator
k-d tree obtained from
loess.raw.
x.evaluate
a data frame expanded from a rectangular marginal grid points (points of
evaluations) in the space of the predictors (see
expand.grid).
parametric
for two or more numeric predictors, this argument
specifies those variables that should
be conditionally-parametric. It should be specified as
a logical vector of length equal to the number of columns in
x.evaluate.
VALUE:
This is a support routine for
predict.loess. It returns the fitted
values evaluated at
x.evaluate.