TaylorFit is a multivariate polynomial regression application that fits data to a predictive model consisting of a polynomial function, such as
f(x, y) = ax + by + cxy
where x, y, and xy are terms selected by the user, and a, b, and c
are coefficients determined using least squares regression.
The application works entirely client-side in your browser, so there's no need to download or install anything and no need to create an account. In order to be reasonably efficient, TaylorFit utilizes specific JavaScript primitives and browser capabilities that emulate native execution.