| 偏最小二乘法在回归设计多因变量建模中的应用及其优化 |
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| 引用本文： | 韩汉鹏. 偏最小二乘法在回归设计多因变量建模中的应用及其优化[J]. 数理统计与管理, 2007, 26(2): 303-307 |
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| 作者姓名： | 韩汉鹏 |
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| 作者单位： | 华南热带农业大学基础学院,海南儋州,571737 |
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| 摘 要： | 本文利用国际通用统计软件SAS,探讨偏最小二乘法在二次回归旋转设计中多因变量回归建模的技术;同时,应用国际优化大师L ingo软件对多目标进行优化,给出了最优的工艺参数值。
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| 关 键 词： | 偏最小二乘法 回归正交设计 多个因变量回归模型 参数优化 SAS/STAT Lingo |
| 文章编号： | 1002-1566（2007）02-0303-05 |
| 修稿时间： | 2005-11-18 |
Application of Partial Least -Squares Regression on Multi-Dependent Variable Model Analysis of Quadratic Regression Design and Its Optimal Solution |
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| HAN Han-peng. Application of Partial Least -Squares Regression on Multi-Dependent Variable Model Analysis of Quadratic Regression Design and Its Optimal Solution[J]. Application of Statistics and Management, 2007, 26(2): 303-307 |
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| Authors: | HAN Han-peng |
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| Affiliation: | College of Fundamental Sciences, South China University of Tropic Agricultural, Hainan DanZhou, 571737 |
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| Abstract: | In this paper we used SAS and partial least-squares method to establish multi-dependent variable regressive model on quadratic regression design experiment.We also discussed how to use Lingo to optimize multi-objections,and the optimal parameters were obtained. |
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| Keywords: | SAS/STAT Lingo |
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