Non-linear functional relationships between two variables (curve fitting with errors in both variables) may be defined in a similar way to linear functional relationships. The ratio of the error variances must be fixed to obtain a solution to the likelihood equations, but this solution may not be unique. The best fitting solution may change abruptly as the error variance ratio passes through a critical value. Some examples are given.