主成分估计采用的方法是将原来的回归自变量变换到另一组变量，即主成分，选

主成分估计采用的方法是将原来的回归自变量变换到另一组变量，即主成分，选择其中一部分重要的主成分作为新的自变量，然后用最小二乘法对选取主成分后的模型参数进行估计，最后再变换回原来的模型求出参数的估计。

結果 (英文) 1:

Principal component estimation method was the original regression independent variables is transformed to another set of variables, the primary component, select some of the important main ingredient as a new independent variable, and then using the least-squares method to select the principal components model parameters are estimated, and then transform back to the original estimates of the model parameters are obtained.

結果 (英文) 2:

Principal component estimation method used is the return of the original argument converted to another set of variables, that is the main component, select one of the important part of the main component as a new independent variable, and then use the least squares method to select components after the main model parameters estimation, and finally converted back to the original model parameter estimation is obtained.

結果 (英文) 3:

The principal component estimation method is to transform the original variable to another set of variables, namely principal component, choose one of the important part of the principal component as the new variable, then the model parameters are estimated using the principal components method of least squares, then transform back to the original model for parameter estimation.