# Introduction

This package allows multivariable polynomial fits using Least Squares Regression with full control over the polynomial terms and custom weighting of data points.

This module contains functions to calculate and use the polynomial coefficients for an arbitrary order polynomial curve fit to a dataset with an arbitrary number of independent variables.

Methods are taken from:

Ullah, A. H., Fabijanic, C., Estevadeordal, J., Montgomery, Z. S., Hunsaker, D. F., Staiger, J. M., and Joo, J. J., "Experimental and Numerical Evaluation of the Performance of Parabolic Flaps," AIAA Aviation 2019 Forum, June 2019, [https://arc.aiaa.org/doi/abs/10.2514/6.2019-2916](https://arc.aiaa.org/doi/abs/10.2514/6.2019-2916)

Morelli, E. A., "Global Nonlinear Aerodynamic Modeling using Multivariate Orthogonal Functions," Journal of Aircraft, Vol. 32, Issue 2, 1995, pp. 270-277, [https://arc.aiaa.org/doi/abs/10.2514/3.4](https://arc.aiaa.org/doi/abs/10.2514/3.4)