
TROLL provides a variety of standard and experimental techniques for data analysis and parameter estimation, including the following:
 Single Equation Estimation
 Ordinary Least Squares
 BelsleyKuhWelsch Regression Diagnostics
 CochraneOrcutt Serial Correlation Correction
 HildrethLu Serial Correlation Correction
 Polynomial Distributed Lags
 NonLinear Least Squares
 TwoStage Least Squares
 Equation Systems Estimation
 ThreeStage Least Squares
 Zellner's "Seemingly Unrelated Regressions"
 FullInformation Maximum Likelihood
 State Space Methods
 Kalman Filtering
 Optimal Smoothing
 Maximum Likelihood Hyperparameter Estimation
 Support for UserDefined Estimation Techniques
 Function Minimization
 Matrix Algebra
 Probability Functions
 Statitistical Functions
 Additional Data Analysis Support
 Seasonal Adjustment
 Standard Summary Statistics
 Correlations and Covariances
 Moving Averages
 Periodicity Conversion
 Splinebased Interpolation
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