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  "Title": "Robust Methods for Multiway Data Analysis, Applicable also for\nCompositional Data",
  "Authors@R": "c(person(\"Valentin\", \"Todorov\", role = c(\"aut\", \"cre\"), email = \"valentin@todorov.at\", comment=c(ORCID = \"0000-0003-4215-0245\"))\n, person(\" Violetta\", \"Simonacci\", role = \"aut\", email = \"violetta.simonacci@unina.it\")\n, person(\" Maria Anna\", \"Di Palma\", role = \"aut\", email = \"madipalma@unior.it\")\n, person(\"Michele\", \"Gallo\", role = \"aut\")\n)",
  "Description": "Provides methods for multiway data analysis by means of\nParafac and Tucker 3 models. Robust versions (Engelen and\nHubert (2011) <doi:10.1016/j.aca.2011.04.043>) and versions for\ncompositional data are also provided (Gallo (2015)\n<doi:10.1080/03610926.2013.798664>, Di Palma et al. (2018)\n<doi:10.1080/02664763.2017.1381669>). Several optimization\nmethods alternative to ALS are available (Simonacci and Gallo\n(2019) <doi:10.1016/j.chemolab.2019.103822>, Simonacci and\nGallo (2020) <doi:10.1007/s00500-019-04320-9>).",
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      "status": "success",
      "check": "WARNING",
      "buildurl": "https://github.com/r-universe/valentint/actions/runs/29227469024"
    }
  ]
}