| Summary: | Ionic liquids (ILs) are used in various fields of chemistry. One of them is CO<sub>2</sub> capture, a process that is quite well described. The solubility of CO<sub>2</sub> in ILs can be used as a model to investigate gas absorption processes. The aim is to find the relationships between the solubility of CO<sub>2</sub> and other variables—physicochemical properties and parameters related to greenness. In this study, 12 variables are used to describe a dataset consisting of 26 ILs and 16 molecular solvents. We used a cluster analysis, a principal component analysis, and a K-means hierarchical clustering to find the patterns in the dataset and the discriminators between the clusters of compounds. The results showed that ILs and molecular solvents form two well-separated groups, and the variables were well separated into greenness-related and physicochemical properties. Such patterns suggest that the modeling of greenness properties and of the solubility of CO<sub>2</sub> on physicochemical properties can be difficult.
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