ols_pred_rsq

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.

Tools designed to make it easier for users, particularly beginner/intermediate R users
to build ordinary least squares regression models. Includes comprehensive regression output,
heteroskedasticity tests, collinearity diagnostics, residual diagnostics, measures of influence,
model fit assessment and variable selection procedures.

Aravind Hebbali

olsrr

Tools for Building OLS Regression Models

ols_pred_rsq function

<dl><dt>model</dt>
<dd>An object of class <code>lm</code>.</dd></dl>

Arguments

Predicted rsquare — ols_pred_rsq

<dl>

<dt>model</dt>
<dd>An object of class <code>lm</code>.</dd>

</dl>

ols_pred_rsq: Predicted rsquare

Description

Usage

Value

Arguments

See Also

Examples