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# CITATION.cff file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "PLSsemEngine" in publications use:'
type: software
license: MIT
title: 'PLSsemEngine: Transparent PLS-SEM Estimation for Composite-Based Reflective
  Models'
version: 1.3.0
doi: 10.32614/CRAN.package.PLSsemEngine
abstract: A transparent and modular implementation of Partial Least Squares Structural
  Equation Modeling (PLS-SEM) focused on reflective measurement models (Mode A). The
  package separates estimation, bootstrap inference, and predictive evaluation into
  independent components, emphasising algorithmic transparency, reproducibility, and
  researcher-controlled analysis. Methods are based on Tenenhaus, Esposito Vinzi,
  Chatelin & Lauro (2005) <https://doi.org/10.1016/j.csda.2004.03.005>, Hair, Risher,
  Sarstedt & Ringle (2019) <https://doi.org/10.1108/EBR-11-2018-0203>, and Henseler,
  Ringle & Sarstedt (2015) <https://doi.org/10.1007/s11747-014-0403-8>.
authors:
- family-names: Soto-Perez
  given-names: Manuel
  email: msoto@up.edu.mx
repository: https://msoto-perez.r-universe.dev
repository-code: https://github.com/msoto-perez/PLSsemEngine
commit: cab9a9dcb4d29745fce562f2ffd92877c2721de5
url: https://github.com/msoto-perez/PLSsemEngine
date-released: '2026-07-24'
contact:
- family-names: Soto-Perez
  given-names: Manuel
  email: msoto@up.edu.mx