lm.regsubsets: Evaluate lm model with highest adjusted $R^2$.
In HH: Statistical Analysis and Data Display: Heiberger and Holland
lm.regsubsets R Documentation
Evaluate lm model with highest adjusted $R^2$.
Description
The regsubsets function in the leaps package finds the
model with the highest adjusted R^2. This function evaluates the full
lm object for that model.
Usage
lm.regsubsets(object, model.number, ...)
Arguments
object
An object of class "regsubsets".
model.number
Index number generated by Rcmdr.
...
Other arguments.
Value
"lm" object for the selected model.
Author(s)
Richard M. Heiberger <rmh@temple.edu>
See Also
lm, regsubsets
HH documentation built on April 12, 2025, 1:17 a.m.
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| lm.regsubsets | R Documentation |
Evaluate lm model with highest adjusted $R^2$.
Description
The regsubsets function in the leaps package finds the
model with the highest adjusted R^2. This function evaluates the full
lm object for that model.
Usage
lm.regsubsets(object, model.number, ...)
Arguments
object |
An object of class |
model.number |
Index number generated by |
... |
Other arguments. |
Value
"lm" object for the selected model.
Author(s)
Richard M. Heiberger <rmh@temple.edu>
See Also
lm, regsubsets
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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