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  "Title": "NPLS Regression with L1 Penalization",
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  "Author": "David Hervas",
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  "Description": "Tools for performing variable selection in three-way data\nusing N-PLS in combination with L1 penalization, Selectivity\nRatio and VIP scores. The N-PLS model (Rasmus Bro, 1996\n<DOI:10.1002/(SICI)1099-128X(199601)10:1%3C47::AID-CEM400%3E3.0.CO;2-C>)\nis the natural extension of PLS (Partial Least Squares) to\nN-way structures, and tries to maximize the covariance between\nX and Y data arrays. The package also adds variable selection\nthrough L1 penalization, Selectivity Ratio and VIP scores.",
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  "Date/Publication": "2023-12-29 14:58:29 UTC",
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      "title": "AUC for sNPLS-DA model",
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    },
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      "title": "Bread data",
      "topics": [
        "bread"
      ]
    },
    {
      "page": "coef.sNPLS",
      "title": "Coefficients from a sNPLS model",
      "topics": [
        "coef.sNPLS"
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    },
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      "title": "Internal function for 'cv_snpls'",
      "topics": [
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    },
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      "title": "Cross-validation for a sNPLS model",
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      "title": "Internal function for 'plot.sNPLS'",
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      "title": "Internal function for 'plot.sNPLS'",
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    },
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      "title": "Internal function for 'plot.sNPLS'",
      "topics": [
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    },
    {
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      "title": "Plot cross validation results for sNPLS objects",
      "topics": [
        "plot.cvsNPLS"
      ]
    },
    {
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      "title": "Density plot for repeat_cv results",
      "topics": [
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    },
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        "plot.sNPLS"
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