pmml (version 1.2.21)

pmml.lm: Generate PMML for an lm object

Description

Generate the PMML (Predictive Model Markup Language) representation of an lm object. The PMML can then be imported into other systems that accept PMML.

Usage

## S3 method for class 'lm':
pmml(model, model.name="Linear_Regression_Model", app.name="Rattle/PMML",
     description="Linear Regression Model", copyright=NULL, transforms=NULL, \dots)

Arguments

model

an lm object.

model.name

a name to give to the model in the PMML.

app.name

the name of the application that generated the PMML.

description

a descriptive text for the header of the PMML.

copyright

the copyright notice for the model.

transforms

a coded list of transforms performed.

...

further arguments passed to or from other methods.

Details

The generated PMML can be imported into any PMML consuming application, such as Zementis' ADAPA.

Currently, the resultant PMML document will not encode interaction terms.

Only numeric regression is supported currently. Generalised linear models (logistic regression) are not yet supported.

References

Package home page: http://rattle.togaware.com

PMML home page: http://www.dmg.org Zementis' useful PMML convert: http://www.zementis.com/pmml_converters.htm

See Also

pmml.

Examples

# Build a simple lm model
(iris.lm <- lm(Sepal.Length ~ ., data=iris))

# Convert to pmml
pmml(iris.lm)