PLS算法能较好地解决自变量之间存在的相关性问题，最大限度地概括自变量空间的数据变化信息与自变量对因变量的解释作用，因而被广泛用于解决科学计算、工业控制和信号处理中的特征提取、数据拟合、系统辨识和参数估计等问题。-PLS algorithm can effectively solve the problem of correlation exists between independent variables that maximize the generalization of independent variables in space data information and change variables due to variable for explaining the role. So it is widely used in the solution of scientific calculation, in industrial control, and signal processing, feature extraction, data fitting, system identification and parameter estimation problem.