Method of principal components was employed.
研究方法：主成分分析法。
QTL mapping was conducted with the two principal components, respectively.
对这两个主成分分别进行QTL定位分析。
There are few principal components in the VCL architecture as shown in Figure 2.
如图2所示，VCL架构包含几个主要组件。
This paper proposes the use of principal components analysis as a RQ-mode procedure.
本文提出用主分量分析作为一种RQ式方法。
Principal components: calcium carbonate, calcium oxide, silicate, cement and additives.
主要成分：碳酸钙、氧化钙、硅酸盐水泥和添加剂。
We show that cluster analysis and principal components are strongly affected by filtering.
我们发现筛选强烈地影响着聚类分析和主成分分析。
Methods Data is analyzed by principal components analysis and ambiguity synthetic judgment.
方法应用主成分分析法和模糊综合评判法分析数据。
The samples could be classified by using plots of the scores of their first principal components.
将样品的前两个主成分得分做图可对样品分类。
This paper analyzes principal components constructing the term structure of interest rates in China.
本文采用主成分分析的方法对我国的利率期限结构进行了研究。
The plot drawn with the scores of the first two principal components can be used for classifying mixtures.
用混合休系前两个主成分的得分做图，可对混合物分类。
The property of combining ridge and principal components estimate is studied in the ridged class of reduced-dimension estimators.
研究岭型主成分估计在岭型降维估计类中的性质。
Relationship of main components and sensory quality of apple wine were studied by relating analysis and principal components analysis.
采用相关分析、主成分分析对苹果酒的主要成分与感官质量的关系进行了研究。
The major periods in first four principal components series are also revealed by using the periodogram and the maximum entropy method.
在这四个主成分序列中的决定性周期用周期图和最大熵方法加以揭露。
They are all initialized by the first principal component for the close relation between principal curves and the principal components.
然而实验发现第一主成分未必是算法初始化的最佳选择。
Methods: to introduce the correlation principal components regression (CPCR) and compare the difference between the CPCR and top-down PCR.
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。
This paper deals with the variance property of combining ridge and principal components estimate in the class of reduced-dimension estimates.
讨论岭型主成分估计在一类降维估计中的方差性质，证明了它的方差和在这类降维估计中最小。
By far, the most important reason for performing a principal components analysis (PCA) is to use it as a tool for screening multivariate data.
到目前为止，最重要的原因为执行一个主成分分析(PCA)是使用它当作一个工具，用于筛选的多元数据。
The principal component analysis can determine a few principal components from the connected factors and evaluate the all-around qualities of students.
采用主成分分析方法，从多种影响因素中找出几个主要成分指标，较为全面地综合评价了学生素质。
Aiming at the problem that dataset is of high dimensions, principal components analysis is used in anomaly detection to reduce the dimensions of dataset.
针对数据对象是高维数据的问题，将主成份分析方法应用到异常检测中解决数据集的降维问题。
The principal component analysis showed that 16 characters were integrated into 6 principal components and their additive contributing rate came up to 85%.
经过主成分分析，可将原16个性状综合为6个主成分，其累积贡献率可达85 %以上。
The application of near infrared diffuse reflectance spectroscopy in determining the contents of principal components in fibrous raw materials was introduced.
介绍近红外漫反射技术在造纸纤维原料主要成分定量分析中的应用。
Besides, the spatial distribution characteristics and significance of the principal components and the variation of their monthly averaged values were studied.
研究了各主成分的空间分布特征、意义以及月均值随时间的变化规律。
Conclusion Principal components that reflect the quality of medicolegal autopsy should be considered for establishing quality management and controlling system.
结论在建立“医疗纠纷鉴定质量管理体系”时，应按影响鉴定质量的主成分设计相应的对策。
Objective To analyze the relationship of Qi and blood deficiency syndromes principal components of chronic fatigue syndrome (CFS) and TCM syndrome differentiation.
目的研究慢性疲劳综合征(CFS)气虚证和血虚证的主成分与传统中医辨证的相关性。
The optimality of the MSE of combining ridge and principal components in the class of combining ridge and reduced dimension estimators is dealt with in this paper.
本文研究了在均方误差意义下岭型主成分估计在岭型降维估计类中的最优性。
The accumulative variance contribution of the first three principal components was 35.7%. The first principal component encompassed only 20.22% of the total variation.
主分量分析得到的前三个主分量的累计方差贡献率为35.7%，第一主分量的方差贡献率为20.22%。
Used fault diagnosis method based on Principal Components Analysis to research the fault monitoring and diagnosis of Floating Production Storage and Off-loading system.
应用基于主元分析的故障诊断方法对浮式油轮生产储油卸油系统进行故障检测与诊断研究。
According to the corresponding eigenvectors, the 3 principal components were explained as the anthropogenic factor, the temperature factor, and the precipitation factor.
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.
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。
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