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系统介绍“分离沉积物端元的最优斜交成分因子算法”，此算法包括主成分分析、因子得分成分化和最优斜交变换三部分．此算法可获得成分化的非负的斜交因子得分，弥补了Ｑ型因子分析仅能用于样品间的相互关系及样品的分类研究，而不能胜任海底沉积物端元物质分离工作之不足．方法适合于沉积物物源端元定量分离工作．将此方法应用于冲绳海槽海底表层样，成功地分离出长江陆源物质．此方法同样适合于诸如岩石、水体、土壤污染等混合过程的端元定量分离工作．
The system introduces the algorithm of optimal bias component factor for separating end-elements of sediments. The algorithm includes three parts: principal component analysis, factor score composition and optimal bias transformation. This algorithm can obtain the score of compositional non-negative skewness factor, which can make up for the Q-factor analysis can only be used for the correlation between samples and the classification of samples, but can not do the work of separation of the endmember of seafloor sediments. The method is suitable for quantitative separation of sedimentary source end units. Applying this method to the submarine surface of the Okinawa Trough, the terrigenous materials of the Yangtze River were successfully separated. This method is also suitable for the quantitative separation of end-elements such as rock, water, soil contamination and other mixing processes.