A multivariate model was developed to calibrate the flaxseed-oil content in binary mixtures with unrefined sunflower oil using UV, visible, and near-IR optical-density spectra; was based on principal-component analysis, cluster analysis, and the linear method of interval projection to latent structures; and is characterized by a smaller rootmean-square error (0.12%) than the classical interpretable model (0.42%) and the multivariate model (0.63%) using the full measured spectral range.

中文翻译：

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线性多元光谱分析识别亚麻油

建立了一个多元模型，使用紫外线，可见光和近红外光密度光谱来校准未经精制的葵花籽油与二元混合物中亚麻籽油的含量；基于主成分分析，聚类分析和区间投影到潜在结构的线性方法；并具有比使用完整测量光谱范围的经典可解释模型（0.42％）和多元模型（0.63％）小的均方根误差（0.12％）。