One of the primary benefits of using PLS in catalysis is its ability to handle multicollinearity among variables, which is common in complex catalytic systems. Additionally, PLS can manage noisy and incomplete data, making it robust for experimental research. It also reduces the dimensionality of the dataset, making it easier to visualize and interpret the relationships between variables.
