四、偏最小二乘分析（PLS，partial least squares） PLS［48】和PCA相似，差别在于用于描述变量Y中因子的同时也用于描述变量 x。
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偏最小二乘回归分析 partial least squares regression ; partial least squares ; PLSR ; PLS
和偏最小二乘回归分析 Partial Least Squares
偏最小二乘回归分析法 partial least-squares regression analysis
在多变量统计过程控制中，传统的方法主要包括主元分析和偏最小二乘，这些方法存在着诸多缺陷。
Principal component analysis (PCA) and partial least squares (PLS) are the conventional techniques of multivariate statistical process control but exist some defects.
引入了主成分分析与偏最小二乘回归等多元统计与回归方法，并分析了其基本思想与优缺点。
Then the basic concepts of principal component analysis and partial least square regression are studied, as well as their advantages and disadvantages.
本文提出采用因素分析方法，对偏最小二乘回归的最优子空间进行正交变换。
In this paper the factor analysis method is presented to transform orthogonally the optimal subspace, which is obtained from partial least squares regression.
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