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.

ols_plot_comp_plus_resid(model, print_plot = TRUE)

## Arguments

model |
An object of class `lm` . |

print_plot |
logical; if `TRUE` , prints the plot else returns a plot object. |

## Deprecated Function

`ols_rpc_plot()`

has been deprecated. Instead use `ols_plot_comp_plus_resid()`

.

## References

Chatterjee, Samprit and Hadi, Ali. Regression Analysis by Example. 5th ed. N.p.: John Wiley & Sons, 2012. Print.

Kutner, MH, Nachtscheim CJ, Neter J and Li W., 2004, Applied Linear Statistical Models (5th edition).
Chicago, IL., McGraw Hill/Irwin.

## See also

[ols_plot_added_variable()], [ols_plot_resid_regressor()]

## Examples