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If you use the SVEMnet package, please cite the following works:

Karl A (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, 271, 105660. doi:10.1016/j.chemolab.2026.105660.

Karl A (2026). SVEMnet: Self-Validated Ensemble Models with Lasso and Relaxed Elastic Net Regression. R package version 3.2.3.

Karl A (2024). “A randomized permutation whole-model test heuristic for Self-Validated Ensemble Models (SVEM).” Chemometrics and Intelligent Laboratory Systems, 249, 105122. doi:10.1016/j.chemolab.2024.105122.

Lemkus T, Gotwalt C, Ramsey P, Weese M (2021). “Self-validated ensemble models for design of experiments.” Chemometrics and Intelligent Laboratory Systems, 219, 104439. doi:10.1016/j.chemolab.2021.104439.

Friedman J, Tibshirani R, Hastie T (2010). “Regularization Paths for Generalized Linear Models via Coordinate Descent.” Journal of Statistical Software, 33(1), 1–22. doi:10.18637/jss.v033.i01.

Corresponding BibTeX entries:

  @Article{,
    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},
    journal = {Chemometrics and Intelligent Laboratory Systems},
    year = {2026},
    volume = {271},
    pages = {105660},
    doi = {10.1016/j.chemolab.2026.105660},
  }
  @Manual{,
    title = {SVEMnet: Self-Validated Ensemble Models with Lasso and
      Relaxed Elastic Net Regression},
    author = {Andrew T. Karl},
    year = {2026},
    note = {R package version 3.2.3},
  }
  @Article{,
    title = {A randomized permutation whole-model test heuristic for
      Self-Validated Ensemble Models (SVEM)},
    author = {Andrew T. Karl},
    journal = {Chemometrics and Intelligent Laboratory Systems},
    year = {2024},
    volume = {249},
    pages = {105122},
    doi = {10.1016/j.chemolab.2024.105122},
    keywords = {Formulation optimization Joint optimization Mixture
      experiment Multiple response experiment SVEM},
  }
  @Article{,
    title = {Self-validated ensemble models for design of experiments},
    author = {Trent Lemkus and Christopher Gotwalt and Philip Ramsey
      and Maria L. Weese},
    journal = {Chemometrics and Intelligent Laboratory Systems},
    year = {2021},
    volume = {219},
    pages = {104439},
    doi = {10.1016/j.chemolab.2021.104439},
    keywords = {Box-Behnken designs Definitive screening designs
      Forward selection Fractional weighted bootstrap Lasso},
  }
  @Article{,
    title = {Regularization Paths for Generalized Linear Models via
      Coordinate Descent},
    author = {Jerome Friedman and Robert Tibshirani and Trevor Hastie},
    journal = {Journal of Statistical Software},
    year = {2010},
    volume = {33},
    number = {1},
    pages = {1--22},
    doi = {10.18637/jss.v033.i01},
  }

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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