In catalysis research, PLS is often employed to analyze high-dimensional datasets obtained from various experimental conditions. By correlating the experimental inputs (such as temperature, pressure, and reactant concentrations) with the outputs (such as conversion rates and selectivity), PLS helps in identifying the most significant factors affecting the catalytic process. This enables researchers to optimize the conditions for enhanced performance.
