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�������պ����ѧѧ�� 1998, Vol. 24 Issue (5) :575-578    DOI:
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Comparing Two Regression Methods Based on Different Principal Components
Wang Huiwen, Yang Xianglong*
Beijing University of Aeronautics and Astronautics,School of Management

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Abstract�� This paper deals with the comparing two regression methods based on different principal components.The principal components acquired by principal component analysis are the best summery of the information in the independent variables' system,but generally they are short of the explanatory capability to the dependent variable.However the components acquired by using PLS regression can not only summarize the independent variables well,but also they have the best explanation to the dependent variable.Moreover,the interference from invalid information is eliminated at the same time.
Keywords�� regression analysis   comparison   principal component analysis   PLS regression     
Received 1997-03-06;


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������, ������.���ֳɷ���ȡ�ع鷽���ıȽϷ���[J]  �������պ����ѧѧ��, 1998,V24(5): 575-578
Wang Huiwen, Yang Xianglong.Comparing Two Regression Methods Based on Different Principal Components[J]  JOURNAL OF BEIJING UNIVERSITY OF AERONAUTICS AND A, 1998,V24(5): 575-578
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