ols_plot_comp_plus_resid

The residual plus component plot indicates whether any non-linearity is
present in the relationship between response and predictor variables and can
suggest possible transformations for linearizing the data.

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_plot_comp_plus_resid function

<dl><dt>model</dt>
<dd>An object of class <code>lm</code>.</dd>
<dt>print_plot</dt>
<dd>logical; if <code>TRUE</code>, prints the plot else returns a plot object.</dd></dl>

Arguments

Residual plus component plot — ols_plot_comp_plus_resid

<dl>

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


<dt>print_plot</dt>
<dd>logical; if <code>TRUE</code>, prints the plot else returns a plot object.</dd>

</dl>

ols_plot_comp_plus_resid: Residual plus component plot

Description

Usage

Arguments

References

See Also

Examples