Therefore, application of spectrum PCA in the selection of calibration sample set was very efficient and cost effective in routine chemical analysis in the procedure of tobacco NIR mode establishment.

• 因此，应用光谱主成分分析是烟草近红外模型构建过程中的一种非常有效，且节约常规化学分析成本的校正集样品选择方法。