Partial Regression Plots for a Linear Model

Given a fitted linear model, this function computes partial‐regression plots for each term in the model. It regress out the other predictors and plots the residuals against each term’s residuals, annotating with the slope (beta) and residual standard deviation.

Usage

plot_partial_regression(model)

Arguments

model

A fitted lm model object.

Value

A named list of ggplot2 objects, one per predictor term in the model.