While PCA is a powerful tool, it has some limitations:
- Linearity Assumption: PCA assumes linear relationships between variables, which may not always hold true in complex catalytic systems. - Loss of Information: Some information may be lost when reducing the dimensionality, especially if the discarded components contain significant variance. - Interpretability: The principal components are linear combinations of the original variables, which can sometimes make them difficult to interpret in a physical or chemical context.
