Rural Per Capita Net Income Forecast Based on Partial Least Squares Regression
Partial least squares regression is a new multiple regression analysis method that can achieve simultaneously in a regression modeling, data reduction and correlation analysis between two sets of variables. Rural per capita net income is affected by many factom, which the factors constraint and affect each other, and there is a serious multiple correlation, and partial least squares regression method (PLS) can well solve the problem. The PLS is used for fitting and prediction of rural residents per capita net income, the resuits show that the PLS process of modeling is simple and the precision of prediction is reliable, with strong practicability.
partial least squares regressioncomponent extractionper capita net incomeforecast
NETL
NSTL
万方数据
维普
