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During the course of calculating the rice evapotranspiration using weather factors,we often find that some independent variables have multiple correlation.The phenomena can lead to the traditional multivariate regression model which based on least square method distortion.And the stability of the model will be lost.The model will be built based on partial least square regression in the paper,through applying the idea of main component analyze and typical correlation analyze,the writer picks up some component from original material.Thus,the writer builds up the model of rice evapotranspiration to solve the multiple correlation among the independent variables (some weather factors).At last,the writer analyses the model in some parts,and gains the satisfied result.
During the course of calculating the rice evapotranspiration using weather factors, we often find that some independent variables have multiple correlation. The phenomena can lead to the traditional multivariate regression model which based on least square method distortion. And the stability of the model will be lost The model will be built based on partial least square regression in the paper, through applying the idea of main component analyze and typical correlation analyze, the writer picks up some component from the original material. Thus, the writer builds up the model of rice evapotranspiration to solve the multiple correlation among the independent variables (some weather factors) .At last, the writer analyzes the model in some parts, and gains the satisfied result.