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.
Examples
model <- lm(mpg ~ disp + hp + wt + qsec, data = mtcars)ols_plot_comp_plus_resid(model)
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.