Data, software and scripts related to the Process PLS methodology manuscript

Published: 31 March 2022| Version 6 | DOI: 10.17632/9x9h7fr4kn.6
Geert van Kollenburg,


Data and software related to the paper "van Kollenburg et al. Process PLS: Incorporating substantive knowledge into the predictive modelling of multiblock, multistep, multidimensional and multicollinear process data" contains: - R package pathmodelr (See README.txt for installation guide) (GPLv3) - Matlab library - Simulated data of a crude oil distillation process (with scripts to reproduce the results) (CC-BY) - R code for the Val de Loire wine tasting analysis (CC-BY) New in v2: PDF with helpfile to understand the model output New in v4: Matlab implementation


Steps to reproduce

Analysis of the Val de Loire data can be directly run and replicated


Institute for Sustainable Process Technology, Radboud Universiteit Institute for Molecules and Materials


Marketing Research, Process Control, Crude Oil, Distillation, Chemometrics, Wine, Analytical Chemistry Data Analysis, Process Analytical Technology, Chemometrics Software, Taste Panel