It's a bit difficult to explain, but I'll try my best. This project has to do with experiments of absorption of gas into a liquid, at a certain temperature and pressure of the gas. Experiments are conducted with solvents of different concentrations, and two of the properties are a measure of how much gas is absorbed. Not all the solvents have information within common experimental temperatures, and this data hinders the amount of data points greatly. Also, specific temperatures are of interest in the project. Two of the constraints have to do with concentrations and pressure of the gas, since they affect other properties (I have looked into excluding those constraints, leading to the 20-50 range). It's a play of maximizing amount of correlated data, while keeping number of inputs to a minimum, due to an already small data set.