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本文论述最小一乘求解的多元分析校正算法,探讨了最小一乘较常规最小二乘法及其他稳健算法的优点。用计算机数值模拟及实际多组分光谱体系对方法进行了检验,展示了最小一乘法在分析化学计量学中实际应用的可行性。
This paper discusses the multivariate analysis and correction algorithm of the least-squares solution, and discusses the advantages of least-squares more than the conventional least squares and other robust algorithms. The method was verified by computer numerical simulation and real multicomponent spectroscopy system. The feasibility of the least squares method in the practical application of analytical chemometrics was demonstrated.