Weighted Total Least Squares MATLAB Toolbox

This documentation provides comprehensive details about the Weighted Total Least Squares MATLAB Toolbox. The toolbox contains complete source code implementations for various total least squares algorithms, including Ordinary Least Squares (OLS) and Weighted Least Squares (WLS) methods. These algorithms employ advanced numerical computation techniques and matrix decomposition approaches (such as SVD and QR factorization) to help users achieve more accurate predictions and analysis in data modeling applications. The implementation features robust error handling and numerical stability checks to ensure reliable performance with real-world datasets. Additionally, the toolbox offers numerous auxiliary functions including visualization tools for result plotting and data preprocessing utilities for workflow optimization. The code architecture follows modular design principles, allowing easy customization and extension of algorithms. For researchers and engineers requiring a comprehensive data analysis solution, this Weighted Total Least Squares MATLAB Toolbox represents an optimal choice with its production-ready codebase and thorough documentation.