Process PLS software (R, Matlab), data and demos
Published: 18 October 2021| Version 4 | DOI: 10.17632/9x9h7fr4kn.4
Contributors:
Geert van Kollenburg, , , , Description
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" https://doi.org/10.1016/j.compchemeng.2021.107466 New in v2: PDF with helpfile to understand the model output - R package pathmodelr (See README.txt for installation guide) (GPLv3) - 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)
Files
Steps to reproduce
Analysis of the Val de Loire data can be directly run and replicated
Institutions
Institute for Sustainable Process Technology, Radboud Universiteit Institute for Molecules and Materials
Categories
Marketing Research, Process Control, Crude Oil, Distillation, Chemometrics, Wine, Analytical Chemistry Data Analysis, Process Analytical Technology, Chemometrics Software, Taste Panel