Deactivate reduced accuracy fit
This control allows you to specify whether PLA can use weak convergence criteria for nonlinear regression models.
During calculation, PLA first uses strong convergence criteria when trying to fit a nonlinear regression model. By default, if PLA cannot find an acceptable fit for the model, it relaxes the convergence criteria and tries to refit the model.
If you select the 'yes' option from the drop-down list and PLA does not find a model with a satisfying strong convergence criterion, PLA does not attempt a refit and does not fit a model.
Note: This setting applies to both restricted and unrestricted regression models.
This element has the following attributes:
| Data type | Multiplicity | Usage | Default value |
| xs:token | 0...1 | optional | none |
Context:
/Quantitative response assay/Analysis/Analytical model/Advanced settings/