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  "Description": "Implementation of the SSR-Algorithm. The\nSign-Simplicity-Regression model is a nonparametric statistical\nmodel which is based on residual signs and simplicity\nassumptions on the regression function. Goal is to calculate\nthe most parsimonious regression function satisfying the\nstatistical adequacy requirements. Theory and functions are\nspecified in Metzner (2020, ISBN: 979-8-68239-420-3,\n\"Trendbasierte Prognostik\") and Metzner (2021, ISBN:\n979-8-59347-027-0, \"Adäquates Maschinelles Lernen\").",
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      "title": "Data model for the AxE-Model (Axiomatic Econometric Modeling Paradigm)",
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      ]
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      ]
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      "title": "Partial Sum Plot for 2-dimensional coordinates",
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