We combine unitary nonlinear regression with multivariate linear regression, it can reduce the error sum of squares of the model and improve the precision of forecast.

Based on this, forecast model for slope stability was studied by multivariate linear regression and BP neural network methods, and the results were compared with those by limit equilibrium method.

In BBS, we study the index system affecting topic diffusion to achieve the diffusion trend forecast based on multivariate linear regression theory.