Application of partial least squares discriminant analysis to mid-infrared spectral data for discriminating green and roasted coffee processed by different post-harvest methods: MATLAB- and R-based computational tools and modeling pipelines.
- DOI
- 10.1016/j.dib.2026.113343
- Published
- 2026 Aug
- Container
- Data in brief
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1016/j.dib.2026.113343,
title = {Application of partial least squares discriminant analysis to mid-infrared spectral data for discriminating green and roasted coffee processed by different post-harvest methods: MATLAB- and R-based computational tools and modeling pipelines.},
author = {Collazos-Escobar GA and Bahamón-Monje AF and Gutiérrez-Guzmán N},
year = {2026},
journal = {Data in brief},
doi = {10.1016/j.dib.2026.113343},
url = {https://doi.org/10.1016/j.dib.2026.113343}
}RIS
TY - JOUR TI - Application of partial least squares discriminant analysis to mid-infrared spectral data for discriminating green and roasted coffee processed by different post-harvest methods: MATLAB- and R-based computational tools and modeling pipelines. AU - Collazos-Escobar GA AU - Bahamón-Monje AF AU - Gutiérrez-Guzmán N PY - 2026 JO - Data in brief DO - 10.1016/j.dib.2026.113343 UR - https://doi.org/10.1016/j.dib.2026.113343 ER -
APA
GA, C., AF, B., & N, G. (2026). Application of partial least squares discriminant analysis to mid-infrared spectral data for discriminating green and roasted coffee processed by different post-harvest methods: MATLAB- and R-based computational tools and modeling pipelines.. Data in brief. https://doi.org/10.1016/j.dib.2026.113343
Source records
- pubmed · retrieved 2026-11-10T10:25:39.920Z