Abstract A chemometric challenge was posed at the annual ‘Chimiometrie’ congress organized by the French Chemometrics Society in February 2019. The congress was held in Montpellier and the data relating to the challenge are available on the congress website ( https://chemom2019.sciencesconf.org/ ). The aim of the challenge was to test the ability of congress participants for the characterization of animal feed by NIR when the reference values do not follow a normal distribution for three different ingredients. This paper summarizes the five best approaches put forward by participants.

中文翻译：

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振动光谱和多变量分析在参考值不遵循正态分布的动物饲料表征中的适用性：在“Chimiométrie 2019”大会上提出的新化学计量学挑战

摘要 2019 年 2 月由法国化学计量学会组织的年度“化学计量学”大会提出了化学计量学挑战。大会在蒙彼利埃举行，与挑战​​相关的数据可在大会网站 (https://chemom2019.sciencesconf .org/）。挑战的目的是测试大会参与者在三种不同成分的参考值不遵循正态分布时通过 NIR 表征动物饲料的能力。本文总结了参与者提出的五种最佳方法。