Author(s)

Lixia Mao

Corresponding Author

Lixia Mao

Abstract

In mathematics problems, multiple regression analysis often encounters multiple collinear problems, which makes the multiple correlation problems between variables become serious, but this problem is ubiquitous, and the phenomenon of multi-collinearity will affect the estimation of the parameter values, making the model's error larger, thus destroying the stability of the model. Therefore, eliminating multi-collinearity has become the most critical issue. Modeling by partial least squares regression, and verifying the theory of partial least squares, screening the original independent variables in the least squares regression model, and a model is established to solve the practical problems in real life.

Keywords

Partial Least Squares, Modeling, Multi-Collinearity, Regression Analysis