If .data is empty an InducerLm object will be created. If .data is a Dataset object
a LM model will be fitted
Usage
InducerLm(
.data = NULL,
formula,
subset,
weights,
na.action,
method = "qr",
model = TRUE,
x = FALSE,
y = FALSE,
qr = TRUE,
singular.ok = TRUE,
offset
)Arguments
- .data
data object of class
Dataset.- formula
a formula that should be used for the linear model.
- subset
An optional argument. A vector specifying a subset of observations that should be used for fitting the model.
- weights
An optional argument. A vector of weights that should be used for fitting the model.
- na.action
An optional argument. A function that specifies how to handle missing values.
- method
The method which should be used for fitting. For more information see lm
- model
if true model is returned
- x
if true x is returned
- y
if true y is returned
- qr
if true the QR decomposition is returned
- singular.ok
logical. If FALSE (the default in S but not in R) a singular fit is an error
- offset
this can be used to specify an a priori known component to be included in the linear predictor during fitting.
Examples
cars.data <- Dataset(data = cars, target = "dist")
inducer <- InducerLm()