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.

SEE ALSO:

, , .