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  "Title": "The SVR Path Algorithm",
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  "Authors@R": "c(person(\"Do Hyun\", \"Kim\", email = \"09dohkim@gmail.com\", role = c(\"aut\",\"cre\")),person(\"Seung Jun\", \"Shin\", email = \"sjshin@korea.ac.kr\", role = c(\"aut\")))",
  "Description": "Computes the entire solution paths for Support Vector\nRegression(SVR) with respect to the regularization parameter,\nlambda and epsilon in epsilon-intensive loss function,\nefficiently. We call each path algorithm svrpath and epspath.\nSee Wang, G. et al (2008) <doi:10.1109/TNN.2008.2002077> for\ndetails regarding the method.",
  "License": "GPL (>= 2)",
  "Encoding": "UTF-8",
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  "NeedsCompilation": "no",
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    "Date": "2026-09-30 08:24:46 UTC",
    "User": "root"
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  "Author": "Do Hyun Kim [aut, cre], Seung Jun Shin [aut]",
  "Maintainer": "Do Hyun Kim <09dohkim@gmail.com>",
  "Repository": "https://09dohkim.r-universe.dev",
  "Date/Publication": "2018-06-29 13:07:55 UTC",
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    "plot.svrpath",
    "predict.epspath",
    "predict.svrpath",
    "solve.svr",
    "svrpath"
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      "page": "epspath",
      "title": "Fit the entire 'epsilon' path for Support Vector Regression",
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        "epspath"
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      "title": "plot the epspath, solution paths of SVR as a function of epsilon",
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      "title": "plot the svrpath, solution paths of SVR as a function of lambda",
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      "title": "Make predictions from an \"epspath\" object",
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        "predict.epspath"
      ]
    },
    {
      "page": "predict.svrpath",
      "title": "Make predictions from a \"svrpath\" object",
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      "title": "QP solver for SVR",
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    {
      "page": "svrpath",
      "title": "Fit the entire regularization path for Support Vector Regression",
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        "svrpath"
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