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linearmodels 6.1
linearmodels.iv.model.IVLIML.resids
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    linearmodels
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    • Instrumental Variable Estimation
      • Introduction
      • Basic Examples
      • Further Examples
      • Using formulas to specify models
      • Absorbing Regression
      • Module Reference
        • Instrumental Variable Estimation
          • linearmodels.iv.model.IV2SLS
          • linearmodels.iv.model.IVLIML
            • Clinearmodels.iv.model.IVLIML
              • linearmodels.iv.model.IVLIML.estimate_parameters
              • linearmodels.iv.model.IVLIML.fit
              • linearmodels.iv.model.IVLIML.from_formula
              • linearmodels.iv.model.IVLIML.predict
              • linearmodels.iv.model.IVLIML.resids
                • MIVLIML.resids
                  • Parameters
                    • pparams
                  • Returns
                  • Return type
              • linearmodels.iv.model.IVLIML.wresids
              • linearmodels.iv.model.IVLIML.formula
              • linearmodels.iv.model.IVLIML.has_constant
              • linearmodels.iv.model.IVLIML.isnull
              • linearmodels.iv.model.IVLIML.notnull
          • linearmodels.iv.model.IVGMM
          • linearmodels.iv.model.IVGMMCUE
          • linearmodels.iv.model._OLS
        • Absorbing Least Squares
        • Estimation Results
        • Instrumental Variable Covariance Estimation
        • GMM Weight and Covariance Estimation
        • IV Data Structures
      • Formulas and Mathematical Detail
    • Panel Data Model Estimation
    • Linear Factor Models for Asset Pricing
    • System Regression Models
    • Utilities
    • Compatibility
    • Type Aliases
    • Module Plans
    • Contributing
    • Change Log
    • References
    • MIVLIML.resids
      • Parameters
        • pparams
      • Returns
      • Return type

    linearmodels.iv.model.IVLIML.resids¶

    IVLIML.resids(params: ndarray) → ndarray¶

    Compute model residuals

    Parameters:¶
    params: ndarray¶

    Model parameters (nvar by 1)

    Returns:¶

    Model residuals

    Return type:¶

    numpy.ndarray

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    © Copyright 2021, Kevin Sheppard.
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