OLS Module

Ordinary Least Squares (OLS) regression aims to minimise the sum of squared y intercepts between the original and predicted points at each x value.

Nested modules

Modules Description

Linear

Simple linear regression using straight lines: f(x) = a + bx.

Polynomial

Linear regression using polynomials as regression function: f(x) = a + bx + cx^2 + ....