成分数据具有非常复杂的数学性质,很多传统的统计分析方法对其是失效的,因此,在研究中必须采用特殊处理和专门技术.着重讨论了成分数据相关系数的计算方法,由于普通数据的相关系数计算方法只适用于两组单变量数据,而传统的典型相关分析又鉴于成分数据的特殊性质而不能直接使用,故结合logratio变换和典型相关分析技术,提出了一种针对成分数据的相关系数计算方法,成功地解决了这一问题. Due to the complexity of the mathematical properties of component data, many traditional methods of statistical analysis are ineffective, and therefore special treatment and special techniques must be used in the study.The emphasis is placed on the calculation of the correlation coefficients of component data, The coefficient calculation method is only applicable to two sets of univariate data, and the traditional canonical correlation analysis, in view of the special nature of the component data can not be directly used, so combined with logratio transform and canonical correlation analysis techniques, a correlation coefficient for composition data Calculation method, successfully solved this problem.