lmAuxiliary: Estimate leave-one-variable-out regressions
In rockchalk: Regression Estimation and Presentation
lmAuxiliary R Documentation
Estimate leave-one-variable-out regressions
Description
This is a convenience for analysis of multicollinearity in regression.
Usage
lmAuxiliary(model)
Arguments
model
a fitted regression model
Value
a list of fitted regressions, one for each omitted variable.
Author(s)
Paul E. Johnson pauljohn@ku.edu
rockchalk documentation built on Aug. 6, 2022, 5:05 p.m.
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| lmAuxiliary | R Documentation |
Estimate leave-one-variable-out regressions
Description
This is a convenience for analysis of multicollinearity in regression.
Usage
lmAuxiliary(model)
Arguments
model |
a fitted regression model |
Value
a list of fitted regressions, one for each omitted variable.
Author(s)
Paul E. Johnson pauljohn@ku.edu
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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