The use of regression models in chemistry has become increasingly popular in recent years, particularly in the analysis of complex chemical systems. In this context, the identification and quantification of organic and inorganic chemicals are of great importance. A recent study published in the journal Physical Chemistry Chemical Physics explores the use of regression models to predict the concentrations of organic and inorganic chemicals in complex mixtures. The study highlights the importance of accurate and reliable data in developing effective regression models, and discusses the potential applications of these models in a range of chemical and environmental contexts. Overall, the study provides valuable insights into the use of regression models in chemistry, and highlights the importance of continued research in this area.