AIC.lmSubsets {lmSubsets}

Extract AIC values from a subset regression

Description

Evaluate Akaike's information criterion (AIC) for the specified submodels.

Usage

## S3 method for class 'lmSubsets'
AIC(object, size, best = 1, ..., k = 2, na.rm = TRUE, drop = TRUE)

## S3 method for class 'lmSelect'
AIC(object, best = 1, ..., k = 2, na.rm = TRUE, drop = TRUE)

Arguments

object

"lmSubsets", "lmSelect"—a subset regression

size

integer[]—the submodel sizes

best

integer[]—the submodel positions

...

ignored

k

double—the penalty per model parameter

na.rm

logical—if TRUE, remove NA entries

drop

logical—if TRUE, simplify structure

Value

double[]—the AIC values

See Also

• lmSubsets() for all-subsets regression

• lmSelect() for best-subset regression

• AIC() for the S3 generic