说明：  最小二乘回归法（PLSR：partial least squares regression)：是一种新型的多元统计数据分析方法，它主要研究的是多因变量对多自变量的回归建模，特别当各变量内部高度线性相关时，用偏最小二乘回归法更有效。另外，偏最小二乘回归较好地解决了样本个数少于变量个数等问题。
(Least squares regression (PLSR: partial least squares regression): a new type of multivariate statistical data analysis methods, the main research is more dependent variable regression modeling of multi-argument, especially when highly linear within each variable When using partial least squares regression method is more effective. In addition, partial least squares regression better solution to the problem of the number of samples is less than the number of variables.)