GMR

GMR, or Geometric Mean Regression, is a statistical method used to analyze the relationship between two variables when both may have measurement errors. Unlike traditional regression, which predicts one variable based on another, GMR finds a line that minimizes the distances from data points to the line in a way that balances errors in both variables. This approach provides a more accurate understanding of their true relationship when both are subject to measurement variability, making it useful in scientific fields where data uncertainties are common.