对样品进行主成分回归分析，所得结果与参考值基本一致。
The principal component regression of samples was made. The obtained results were identical with the reference analytical values.
采用主成分回归（PCR）和偏最小二乘法（PLS）对试验数据进行了多元统计分析。
Then all data were analyzed by principal component regression (PCR) and partial least square (PLS).
采用主成分回归和偏最小二乘法分别对血糖近红外光谱进行分析，建立数学校正模型。
Analyze the near infrared spectrum of the glucose concentration using main component regression and partial least square algorithm, build up the adjusting mathematical model.
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.
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.
运用多元回归分析法和主成分分析法，讨论了前郭县土地利用变化的社会经济驱动机制。
The paper discuss socioeconomic drive mechanism of land use change in Qianguo County by using the multivariate regression analysis method and the principal component analysis method.
利用主成分和逐步回归分析了影响土壤重金属的有效性及其微生物学效应的因素。
Principal component analysis and stepwise regression were employed to characterize availability of heavy metals, microbial responses and their effect factors in the studied soil.
根据3个主成分各自对应的特征向量特点，分别解释为人为因子、温度因子和降水因子并进行回归分析。
According to the corresponding eigenvectors, the 3 principal components were explained as the anthropogenic factor, the temperature factor, and the precipitation factor.
将这种新的预测模型（主成分神经网络预报模型）与同样根据这些预报因子建立的逐步回归预报模型进行了对比分析。
Predictive capability between the new model (principal components ANN model) and linear regression model for the same predictors is discussed based on the independent samples and historical samples.
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.
主成分回归以其能够有效的降低维数，克服回归问题中的自变量高度相关而产生的分析困难，而得到广泛的利用。
PCR (principal component regress) that with the characters of reducing dimensions effectively and overcoming the intense relativity between independent variables, is widely used in different fields.
对绿茶17种氨基酸与滋味进行了简单相关、多元逐步回归和主成分分析。
Simple correlation, multiple regression and main - element analysis based on the results of 17 amino acids and taste of green tea were carried out by computer.
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.
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.
根据主成分分析得出的综合绩效，与公司股权变量进行回归分析。
This paper presents empirical study of ownership structure and operating Performance of GuangXi listed companies.
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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