Generate the PMML representation for an lm object from the package stats.
Generate the PMML representation for an lm object from the package stats.
## S3 method for class 'lm' pmml( model, model_name = "lm_Model", app_name = "SoftwareAG PMML Generator", description = "Linear Regression Model", copyright = NULL, transforms = NULL, missing_value_replacement = NULL, weights = NULL, ... )
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. |
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. |
The resulting PMML representation will not encode interaction terms. Currently, only numeric regression is supported.
PMML representation of the lm object.
Rajarshi Guha
fit <- lm(Sepal.Length ~ ., data = iris) fit_pmml <- pmml(fit)
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