Principal component analysis (PCA) and partial least squares (PLS) are the conventional techniques of multivariate statistical process control but exist some defects.

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。

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This paper use partial least squares regression analysis and quarter of the model to identify the key factors affecting customer satisfaction.

本文利用偏最小二乘回归分析方法和四分模型找出影响顾客满意度的关键因素。

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In this paper the factor analysis method is presented to transform orthogonally the optimal subspace, which is obtained from partial least squares regression.

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。

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