The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

To cite FSHybridPLS in publications use:

Mun J, Jang J (2026). “Hybrid Partial Least Squares Regression with Multiple Functional and Scalar Predictors.” doi:10.48550/arXiv.2601.16364. arXiv:2601.16364, https://arxiv.org/abs/2601.16364.

Mun J (2026). FSHybridPLS: Hybrid Penalized Partial Least Squares for Functional and Scalar Data. R package version 0.1.0.

Corresponding BibTeX entries:

  @Misc{,
    title = {Hybrid Partial Least Squares Regression with Multiple
      Functional and Scalar Predictors},
    author = {Jongmin Mun and Jeong Hoon Jang},
    year = {2026},
    note = {arXiv:2601.16364},
    doi = {10.48550/arXiv.2601.16364},
    url = {https://arxiv.org/abs/2601.16364},
  }
  @Manual{,
    title = {FSHybridPLS: Hybrid Penalized Partial Least Squares for
      Functional and Scalar Data},
    author = {Jongmin Mun},
    year = {2026},
    note = {R package version 0.1.0},
  }

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.