方法采用基于MVT和LMS方法的一种稳健主成分回归方法来诊断异常点，并结合实例进行方法的对比。
Methods We introduce a robust principal component regression based on MVT and LMS to detect outliers, and compare methods using a practical example.
方法：介绍相关主成分回归cPCR法并将该法与传统的主成分回归进行比较。
Methods: to introduce the correlation principal components regression (CPCR) and compare the difference between the CPCR and top-down PCR.
将主成分回归(PCR)和偏最小二乘回归(PLSR)的方法引入RBF网络中，提出了分别采用这两种方法确定网络权重的算法。
The Principal Component Regression (PCR) and Partial Least Square Regression (PLSR) methods are applied to determine the weight of the RBF networks with certain good results.
传统方法用主成分分析、逐步回归分析和数量化理论来实现对森林立地进行分类和评价。
Traditional method analyze, return to with main composition analysis with quantity theory come, realize, set up to forest type go on, divide and appraise progressively.
目前学术界对土地等级评价所使用的主要方法有：主成分分析法、回归分析法、灰色关联度分析法、特尔斐法、排序法、层次分析法、模糊综合评价法。
These methods include the Principle component analysis, the Regression analysis, the Grey cognate analysis, the Delphi, the Ordering method, the Analytical Hierarchy Process, Fuzzy method.
依据鄱阳湖地区1949 ~ 2002年耕地面积和社会经济统计数据，运用主成分分析和多元线性回归模型等统计方法分析该地区耕地面积变化的驱动因素。
Based on statistical data of cultivated land and social and economic factors from 1949 to 2002 in Poyang Lake region, this paper discusses the driving forces by multi-variable statistical method.
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.
基于逐步回归分析与主成分分析，提出了用于中药质量预测的软测量方法。
Based on the stepwise regression analysis and the principal component analysis, the soft-sensing method is presented to predict the quality of Chinese herb.
方法：采用主成分回归法同时测定安钠咖注射液中各组分含量，且与药典方法测定的结果进行了比较。
Method: All compounds in annaka injection were determined simultaneously by principal component regression, the results obtained by PCR were compared with those obtained by the standard method.
通过主成分回归建立了用生理指标预测主观热感觉的模型，从而得出一种定量地评价服装属性的方法。
A predicated model of the subjective thermal feeling with physiological indices is built up by principal component regression analysis. Therefore, a quantitative method to …
然后分别运用灰度关联、逐步回归分析、主成分方法选取主要影响因素；
By using the methods of grey relational analysis, stepwise regression analysis and key part analysis the key factors are fownd.
然后分别运用灰度关联、逐步回归分析、主成分方法选取主要影响因素；
By using the methods of grey relational analysis, stepwise regression analysis and key part analysis the key factors are fownd.
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