首先从多元数据分析的角度，研究了基于相关性的多元数据分析和基于独立性的多元数据分析的特征融合方法。
We study the algorithms of feature-level fusion based on the viewpoint of dependence and independence multi-variant data analysis, respectively.
数据分析采用方差分析、多元回归分析。
Data were analyzed using variance and multiple regression analysis.
数据分析主要有多元回归分析等。
以摩擦系数的变化量为目标，利用多元线性回归技术进行数据分析，通过SAS软件得到多元回归方程。
A multi regress equation of the friction coefficients was achieved by SAS, in which multi linearity regress mechanic to analyze data is used.
多元校正模型在近红外光谱数据分析中具有非常重要的作用。
Multivariate calibration models are of critical importance to many analytical measurements, particularly for near-infrared spectroscopic data.
订单统计，多元化数据导出，数据分析。
The order statistic, diversified export data, data analysis.
方法：通过问卷调查法搜集了263份有效问卷，采用探索性因子分析法和多元线性回归分析进行数据分析。
Methods: Using an online questionnaire survey to collect 263 valid questionnaires, exploratory factor analysis and multiple linear regression analysis were used for data analysis.
结果表明：与传统的多元统计分析相比，函数型数据分析更直观有效。
The output tells us that compared with traditional Multi-Statistic methods, this method is more flexible and more effective.
结果表明：与传统的多元统计分析相比，函数型数据分析更直观有效。
The output tells us that compared with traditional Multi-Statistic methods, this method is more flexible and more effective.
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