Principal Component Analysis of models residuals. PCA can be used to assess the similarity of the models.

plotModelPCA(object, ..., scale = TRUE, invisible = "none")

## Arguments

object An object of class modelAudit or modelResiduals, Other modelAudit or modelResiduals objects to be plotted together. A logical value indicating whether the models residuals should be scaled before the analysis. A text specifying the elements to be hidden on the plot. Default value is "none". Allowed values are "model", "observ".

## Value

ggplot object

plot.modelAudit
library(car)
lm_au <- audit(lm_model, data = Prestige, y = Prestige$prestige) library(randomForest) rf_model <- randomForest(prestige~education + women + income, data = Prestige) rf_au <- audit(rf_model, data = Prestige, y = Prestige$prestige)