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  "Title": "Data Envelopment Analysis with User-Defined and Learned\nReference Sets",
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  "Author": "Jiachao Peng [aut, cre]",
  "Maintainer": "Jiachao Peng <jiachao.peng@wit.edu.cn>",
  "Description": "Slacks-based data envelopment analysis for panel data in\nwhich the reference set is an explicit argument.  A\nuser-supplied weight matrix, or a matrix learned from the data\nby penalised non-negative reconstruction, selects the units\nthat may enter each decision-making unit's frontier.  The\npackage reports the unrestricted and the restricted score, the\nratio of the two and an exact decomposition of the shortfall\ninto the part the restricted technology can remove and the part\nit cannot.  Moran's I and local indicators of spatial\nassociation are provided as diagnostics.  All linear programs\nare solved by a two-phase simplex with Bland's rule implemented\nin R, so the package needs no compiler.",
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  "Encoding": "UTF-8",
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