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