To minimize the error, we need to minimize the Linear Regression Cost Function. Lesser the cost function, better the learning, more accurate will be the predictions.

We give a branch-and-cut algorithm for solving linear programs (LPs) with continuous separable piecewise-linear cost functions (PLFs). Models for PLFs use continuous variables in special-ordered sets ...