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

Published: 22 October 2021| Version 5 | DOI: 10.17632/9x9h7fr4kn.5
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 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

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

License