ols_pred_rsq: Predicted rsquare
In olsrr: Tools for Building OLS Regression Models
Description
Usage
Arguments
Value
See Also
Examples
View source: R/ols-influence-measures.R
Description
Use predicted rsquared to determine how well the model predicts responses for
new observations. Larger values of predicted R2 indicate models of greater
predictive ability.
Usage
1
ols_pred_rsq(model)
Arguments
model
An object of class lm.
Value
Predicted rsquare of the model.
See Also
Other influence measures: ols_hadi,
ols_leverage, ols_press
Examples
1
2
model <- lm(mpg ~ disp + hp + wt + qsec, data = mtcars)
ols_pred_rsq(model)
olsrr documentation built on Feb. 10, 2020, 5:07 p.m.
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Description Usage Arguments Value See Also Examples
View source: R/ols-influence-measures.R
Description
Use predicted rsquared to determine how well the model predicts responses for new observations. Larger values of predicted R2 indicate models of greater predictive ability.
Usage
1 | ols_pred_rsq(model)
|
Arguments
model |
An object of class |
Value
Predicted rsquare of the model.
See Also
Other influence measures: ols_hadi,
ols_leverage, ols_press
Examples
1 2 | model <- lm(mpg ~ disp + hp + wt + qsec, data = mtcars)
ols_pred_rsq(model)
|
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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