Skip to main content
Ctrl+K

statsmodels

  • Installing
  • Getting started
  • User Guide
  • Examples
    • API Reference
    • About statsmodels
    • Developer Page
    • Release Notes
  • GitHub
  • PyPI
  • DOI
  • Installing
  • Getting started
  • User Guide
  • Examples
  • API Reference
  • About statsmodels
  • Developer Page
  • Release Notes
  • GitHub
  • PyPI
  • DOI

Section Navigation

  • endog, exog, what’s that?
  • Import Paths and Structure
  • Fitting models using R-style formulas
  • Pitfalls
  • Linear Regression
  • Generalized Linear Models
  • Generalized Estimating Equations
  • Generalized Additive Models (GAM)
  • Robust Linear Models
  • Linear Mixed Effects Models
  • Regression with Discrete Dependent Variable
  • Generalized Linear Mixed Effects Models
  • ANOVA
  • Other Models othermod
  • Time Series analysis tsa
  • Time Series Analysis by State Space Methods statespace
  • Vector Autoregressions tsa.vector_ar
  • Methods for Survival and Duration Analysis
  • Nonparametric Methods nonparametric
  • Generalized Method of Moments gmm
    • statsmodels.sandbox.regression.gmm.GMM
    • statsmodels.sandbox.regression.gmm.GMMResults
    • statsmodels.sandbox.regression.gmm.IV2SLS
      • statsmodels.sandbox.regression.gmm.IV2SLS.fit
      • statsmodels.sandbox.regression.gmm.IV2SLS.from_formula
      • statsmodels.sandbox.regression.gmm.IV2SLS.hessian
      • statsmodels.sandbox.regression.gmm.IV2SLS.information
      • statsmodels.sandbox.regression.gmm.IV2SLS.initialize
      • statsmodels.sandbox.regression.gmm.IV2SLS.loglike
      • statsmodels.sandbox.regression.gmm.IV2SLS.predict
      • statsmodels.sandbox.regression.gmm.IV2SLS.score
      • statsmodels.sandbox.regression.gmm.IV2SLS.whiten
      • statsmodels.sandbox.regression.gmm.IV2SLS.endog_names
      • statsmodels.sandbox.regression.gmm.IV2SLS.exog_names
    • statsmodels.sandbox.regression.gmm.IVGMM
    • statsmodels.sandbox.regression.gmm.IVGMMResults
    • statsmodels.sandbox.regression.gmm.IVRegressionResults
    • statsmodels.sandbox.regression.gmm.LinearIVGMM
    • statsmodels.sandbox.regression.gmm.NonlinearIVGMM
  • Other Models miscmodels
  • Multivariate Statistics multivariate
  • Statistics stats
  • Contingency tables
  • Multiple Imputation with Chained Equations
  • Treatment Effects treatment
  • Empirical Likelihood emplike
  • Distributions
  • Graphics
  • Input-Output iolib
  • Tools
  • Working with Large Data Sets
  • Optimization
  • The Datasets Package
  • Sandbox
  • User Guide
  • Generalized Method of Moments gmm
  • statsmodels.sandbox.regression.gmm.IV2SLS
  • statsmodels.sandbox.regression.gmm.IV2SLS.whiten

statsmodels.sandbox.regression.gmm.IV2SLS.whiten#

IV2SLS.whiten(X)[source]#

Not implemented

previous

statsmodels.sandbox.regression.gmm.IV2SLS.score

next

statsmodels.sandbox.regression.gmm.IV2SLS.endog_names

On this page
  • IV2SLS.whiten
Show Source

© Copyright 2009-2025, Josef Perktold, Skipper Seabold, Jonathan Taylor, statsmodels-developers.

Created using Sphinx 9.1.0.

Built with the PyData Sphinx Theme 0.19.0.