Regression models are invaluable tools in catalysis for several reasons:
They help in identifying significant factors influencing the catalytic activity and selectivity. Allow for the optimization of reaction conditions by predicting outcomes under different scenarios. Facilitate the design of new catalysts by correlating structural features with catalytic performance. Enable the prediction of long-term stability and performance of catalysts under various operating conditions.
