Constitution of Core Collections by Principal Component Scoring Strategy R package rpcss version 0.1.1 Generate a Core Collection with Principal Component Scoring Strategy (PCSS) using qualitative and/or quantitative trait data according to Hamon and Noirot (1990) <https://www.documentation.ird.fr/hor/fdi:36506>, Noirot et al. (1996) <doi:10.2307/2527837> and Noirot et al. (2003) <https://www.documentation.ird.fr/hor/fdi:010031886>. Software Depends: R (>= 3.5.0) Imports: dplyr, FactoMineR, ggplot2, ggrepel, gslnls, mathjaxr, methods, Rdpack, stats, tidyr, utils Suggests: EvaluateCore, factoextra, knitr, rmarkdown, pander J. Aravind <j.aravind@icar.org.in> Comprehensive R Archive Network (CRAN) J. Aravind [aut, cre] (ORCID: <https://orcid.org/0000-0002-4791-442X>), Anju Mahendru Singh [aut] (ORCID: <https://orcid.org/0000-0001-6958-1630>), ICAR-NBGPR [cph] (ROR: <https://ror.org/00scbd467>, url: https://nbpgr.org.in/) GPL (>= 2) 2026-04-29 application/tgz https://CRAN.R-project.org/package=rpcss doi:10.32614/CRAN.package.rpcss