We will cover the following recipes in this chapter: 

• Computing ordinary least squares estimates 
• Reporting results with the sjPlot package 
• Finding correlation between the features 
• Testing hypothesis 
• Testing homoscedasticity 
• Implementing sandwich estimators 
• Variable selection 
• Ridge regression 
• Working with LASSO
• Leverage, residuals, and influence