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.
介绍了SPC(统计过程控制)技术的技术流程、应用软件和具体实施方法。
The technique flow, application software and particular implement measures of SPC technology are introduced in this paper.
本文首先介绍了自相关过程的特点和识别、统计过程控制中的过程能力分析和控制图方法的基础理论和知识。
The basic theory and knowledge of the characteristics and identification methods of auto-correlated process, process capability analysis and control charts are first introduced in this paper.
对多元统计过程控制常用的分析方法进行了介绍和总结，如主元分析、多向主元分析。
Conventional analytical methods used in Multivariate Statistical Process Control, such as Principal Component Analysis, Multi-way Principal Component Analysis are summarized.
本论文使用统计过程控制和控制图表的方法来度量和分析软件过程，达到了商业目的和技术要求。
This paper is using statistical process control and control charts to measure and analyze software processes, and achieves business and technical goals.
本论文使用统计过程控制和控制图表的方法来度量和分析软件过程，达到了商业目的和技术要求。
This paper is using statistical process control and control charts to measure and analyze software processes, and achieves business and technical goals.
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