Simple Linear Regression in R - Generic Functions (Part 3)

Part 2 link:

Generic functions for fitted (linear) model objects

Function Description
print() simple printed display
summary() standard regression output
coef() (or coefficients()) extracting the regression coefficients
residuals() (or resid()) extracting residuals
fitted() (or fitted.values()) extracting fitted values
anova() comparison of nested models
predict() predictions for new data
plot() diagnostic plots
confint() confidence intervals for the regression coefficients
deviance() residual sum of squares
vcov() (estimated) variance-covariance matrix
logLik() log-likelihood (assuming normally distribted errors)
AIC information criteria including AIC, BIC/SBC (assuming normally distributed errors)