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    "PlotPredictions",
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    "PlotResiduals",
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      "title": "Data for the borehole function",
      "topics": [
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      "title": "Cross-validated predictions for a 'GaSPModel' object.",
      "topics": [
        "CrossValidate"
      ]
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    {
      "page": "DescribeX",
      "title": "Describe the input variables.",
      "topics": [
        "DescribeX"
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    },
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      "page": "Fit",
      "title": "Fit a GaSP model.",
      "topics": [
        "Fit"
      ]
    },
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      "page": "GaSPModel",
      "title": "Create a 'GaSPModel' object.",
      "topics": [
        "GaSPModel"
      ]
    },
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      "page": "PlotAll",
      "title": "Execute 'PlotPredictions', 'PlotResiduals', 'PlotStdResiduals', 'PlotMainEffects', and 'PlotJointEffects'.",
      "topics": [
        "PlotAll"
      ]
    },
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      "page": "PlotJointEffects",
      "title": "Plot the estimated joint effects.",
      "topics": [
        "PlotJointEffects"
      ]
    },
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      "page": "PlotMainEffects",
      "title": "Plot the estimated main effects.",
      "topics": [
        "PlotMainEffects"
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      "topics": [
        "PlotPredictions"
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    },
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      "title": "Normal quantile-quantile (Q-Q) plot.",
      "topics": [
        "PlotQQ"
      ]
    },
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      "topics": [
        "PlotResiduals"
      ]
    },
    {
      "page": "PlotStdResiduals",
      "title": "Plot standardized residuals versus predictions.",
      "topics": [
        "PlotStdResiduals"
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    },
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      "page": "Predict",
      "title": "Predict from a 'GaSPModel' object.",
      "topics": [
        "Predict"
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      "title": "Calculate the root mean squared error (RMSE) of prediction",
      "topics": [
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      "topics": [
        "Visualize"
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      "title": "GaSP: Train and Apply a Gaussian Stochastic Process Model",
      "author": "Yilin Yang and William J. Welch",
      "engine": "knitr::rmarkdown",
      "headings": [
        "1. Introduction",
        "2. Data Setup",
        "3. GaSP Model Formulation",
        "3.1 GaSP model components",
        "3.2 Mean (regression) function",
        "3.3 Stochastic process component",
        "3.4 Random error component",
        "4. GaSPModel object",
        "5. Fit",
        "5.1 Maximum likelihood estimation",
        "5.2 Maximum a posteriori (MAP) estimation",
        "5.3 Further details of Fit",
        "6 Predict",
        "7 CrossValidate",
        "8 Plots and diagnostics for Predict and CrossValidate",
        "8.1 Plots for Predict",
        "8.2 Plots for CrossValidate",
        "8.3 Root mean squared error (RMSE)",
        "9. Visualize",
        "9.1 DecribeX",
        "9.2 Visualize",
        "9.3 Plots for Visualize",
        "10. PlotAll",
        "11. Future"
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