Abstract：This paper discusses the problem about how to establish the linear regression between dependent variables and indepent variables with the compositional data. Based on the traditional linear regression method and symmetrical Logratio transformation, a compositional data forecast model Based on partial least-squares regression analysis is established, then the theoretical analysis is given to show the feasibility and superiority of this model. Therefore, it gives a new way to solve the problem of mulriple correlative variables regression with the compositional data.
收稿日期: 2006-02-25
引用本文:
张忠诚. 一类基于偏最小二乘回归分析的成分数据预测模型[J]. , 2006, 45(2): 0-0.
张忠诚. A compositional data forecast model based on partial least-squares regression analysis. , 2006, 45(2): 0-0.
