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missPLS 0.1.0

• Initial package release.
• Added methods-first helpers for simulation, MCAR/MAR missingness generation, imputation, component selection, and standardized study summaries.
• Added packaged real datasets for the published bromhexine, tetracycline, octane, and ozone analyses.
• Added study runners for simulation and real-data workflows, plus diagnostics for correlation and VIF-style screening.
• Added long-run reproduction scripts under tools/ for complete-data, incomplete-data, and real-data article/thesis reruns.
• Added tests, vignette material, and package documentation for the CRAN-ready public API.
• Complete-data Q2 cross-validation now follows the documented plsRglm::cv.plsR(object = ...) interface, while incomplete-data Q2 selection keeps the package-side NIPALS fallback used by missPLS.

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.