Machine Learning with R Cookbook - Second Edition

See also

• For more information on the parameters used for obtaining a summary of the fitted model, you can use the help function or ? to view the help page:

        > ?summary.lm

• Alternatively, you can use the following functions to display the properties of the model:

        >  coefficients(lmfit) # Extract model coefficients
        >  confint(lmfit, level=0.95)  # Computes confidence intervals for            model parameters.
        >  fitted(lmfit) # Extract model fitted values
        >  residuals(lmfit) # Extract model residuals 
        >  anova(lmfit) # Compute analysis of variance tables for fitted            model object
        >  vcov(lmfit) # Calculate variance-covariance matrix for a fitted            model object
        >  influence(lmfit) # Diagnose quality of regression fits