The article compares different methods for adjusting errors in scientific models. Researchers found that a nonlinear approach called Total Least-Squares can be used instead of linearizing the model. This approach simplifies the calculations and can be more efficient in certain cases. The study shows that different algorithms can give the same results, but some may be more effective than others.