# Load necessary package
if (!require("MASS")) install.packages("MASS", dependencies = TRUE)
library(MASS)

# Load the mtcars dataset
data(mtcars)

# Automated stepwise model selection based on AIC
full_model <- lm(mpg ~ ., data = mtcars)   # Full model with all predictors
null_model <- lm(mpg ~ 1, data = mtcars)  # Null model with intercept only

selected_model <- step(null_model, 
                       scope = list(lower = null_model, upper = full_model), 
                       direction = "both")  # Default uses AIC for selection

# Summary of the selected model
print("Summary of the Selected Model:")
summary(selected_model)