According to independent variables actual rarely obey linear model,and overcome the shortage of conventional least squares ignoring the error of independent variables to process curve fitting.The authors put forward total least squares fitting curve,which takes into account the errors of independent and dependent variables,and improves the reliability of the fitting.The example shows that total least squares curve fitting result is better than conventional least squares.