Partial Least Squares Modeling and Its Multi-collinearity Analysis
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 models 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.
partial least squares modeling multi-collinearity regression analysis
Lixia Mao
Xian Railway Vocational & Technical Institute,Shaanxi,Xian,710026
国际会议
青岛
英文
280-282
2018-11-03（万方平台首次上网日期，不代表论文的发表时间）