These include algorithms that operate by successive addition or removal of significant or nonsignificant terms (forward selection and backward elimination, respectively), and those that operate by forwards selection but also check the previous term to see if it can now be eliminated (stepwise regression). Collectively, these algorithms are usually referred to as stepwise multiple regression.