Maximum uncertainties | This value represents the maximum of the
uncertainties for the fit on the parameters to be identified. Large
uncertainty values are an indication that the experimental observation
strategy is flawed, even if the RMS fitting error is small. |
Number of iterations to convergence | The number of iterations required by the numerical
identification method. |
Number of fitting tag points | The number of points used for the least
squares fitting procedure.
|
Root mean square fitting error
| The root mean square fitting error on the points after
adjusting the tool profile to the best fit possible.
|