Deming regression, also known as Deming regression analysis or errors-in-variables regression, is a statistical method used to estimate the relationships between two variables when there is measurement error in both dependent and independent variables. Unlike ordinary least squares (OLS) regression, which assumes that there is no error in the independent variable, Deming regression accounts for errors in both variables. The method was developed by W.
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