In statistics, the hat matrix, H, sometimes also called the influence matrix or projection matrix, maps the vector of response values (dependent variable values) to the vector of fitted values (or predicted values). It describes the influence each response value has on each fitted value. The diagonal elements of the hat matrix are the leverages, which describe the influence each response value has on the fitted value for that same observation.