SVEMnet: An R package for self-validated elastic-net ensembles and multi-response optimization in small-sample mixture–process experiments
- DOI
- 10.1016/j.chemolab.2026.105660
- Published
- 2026-04
- Container
- Chemometrics and Intelligent Laboratory Systems
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.chemolab.2026.105660,
title = {SVEMnet: An R package for self-validated elastic-net ensembles and multi-response optimization in small-sample mixture–process experiments},
author = {Andrew T. Karl},
year = {2026},
journal = {Chemometrics and Intelligent Laboratory Systems},
doi = {10.1016/j.chemolab.2026.105660},
url = {https://doi.org/10.1016/j.chemolab.2026.105660}
}RIS
TY - JOUR TI - SVEMnet: An R package for self-validated elastic-net ensembles and multi-response optimization in small-sample mixture–process experiments AU - Andrew T. Karl PY - 2026 JO - Chemometrics and Intelligent Laboratory Systems DO - 10.1016/j.chemolab.2026.105660 UR - https://doi.org/10.1016/j.chemolab.2026.105660 ER -
APA
Karl, A. T. (2026). SVEMnet: An R package for self-validated elastic-net ensembles and multi-response optimization in small-sample mixture–process experiments. Chemometrics and Intelligent Laboratory Systems. https://doi.org/10.1016/j.chemolab.2026.105660
Source records
- crossref · retrieved 2026-09-26T10:16:21.098Z