POLYREG: Polynomial Regression

In fdm2id: Data Mining and R Programming for Beginners

Polynomial Regression

Description

This function builds a polynomial regression model.

Usage

POLYREG(
  x,
  y,
  degree = 2,
  tune = FALSE,
  methodparameters = NULL,
  graph = FALSE,
  seed = NULL,
  ...
)

Arguments

x	Predictor matrix.
y	Response vector.
degree	The polynom degree.
tune	If true, the function returns parameters instead of a classification model.
methodparameters	Present for interface consistency with performance (which always passes it when fitting a model). Currently unused: POLYREG does not support reusing pre-tuned parameters.
graph	Present for interface consistency with performance (which always passes it when fitting a model). Currently unused: POLYREG does not produce a plot.
seed	A specified seed for random number generation, so that two runs on the same data give the same model. Every learning method accepts it, so that it can be set the same way whatever the method; the deterministic ones simply have nothing to draw and give the same model with or without it.
...	Other parameters.

Value

The classification model, as an object of class model-class.

See Also

polyreg

Examples

## Not run: 
require (datasets)
data (trees)
POLYREG (trees [, -3], trees [, 3])

## End(Not run)

fdm2id documentation built on Aug. 28, 2026, 9:07 a.m.