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.