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Algorithm for a PLSR Model and Use in Chemical Process. Case Study: A Fixed Bed Catalytic Reactor

Mr. Serny Klaus A, Mr. Ruette Fernando, Mr. Camacho Jose M

Abstract


An algorithm based on partial least square regression (PLSR) to enable the construction of a robust multilinear regression model for a chemical process (fixed-bed reactor). The proposed algorithm is tested with experimental data from various works given for all of them a deviation below 3%. This model could be used in scaling up processes being of importance in the design field of process engineering.


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