Generate the PMML representation for an lm object from the package stats.

Usage

# S3 method for class 'lm'
pmml(
  model,
  model_name = "lm_Model",
  app_name = "R PMML Generator - Package pmml",
  description = "Linear Regression Model",
  copyright = NULL,
  model_version = NULL,
  transforms = NULL,
  missing_value_replacement = NULL,
  weights = NULL,
  ...
)

Arguments

model: An lm object.
model_name: A name to be given to the PMML model.
app_name: The name of the application that generated the PMML.
description: A descriptive text for the Header element of the PMML.
copyright: The copyright notice for the model.
model_version: A string specifying the model version.
transforms: Data transformations.
missing_value_replacement: Value to be used as the 'missingValueReplacement' attribute for all MiningFields.
weights: The weights used for building the model.
...: Further arguments passed to or from other methods.

Value

PMML representation of the lm object.

Details

The resulting PMML representation will not encode interaction terms. Currently, only numeric regression is supported.

References

R project: Fitting Linear Models

Author

Rajarshi Guha

Examples

if (FALSE) { # \dontrun{
fit <- lm(Sepal.Length ~ ., data = iris)
fit_pmml <- pmml(fit)
} # }