CURVEFIT Enhancement Request: Provide fit statistics in original metric for linearized models

Technote (FAQ)


When CURVEFIT fits a nonlinear model, what it actually does is to fit a linear model to transformed data. Although the saved predicted values and residuals are in the original metric, the output results such as the ANOVA table and R^2 statistics are in the metric of the linear model on transformed data rather than in the original metric.
I think that IBM SPSS Statistics should be showing information for model comparisons in the original metric. A better design would be to actually fit the true nonlinear models. Can this feature be implemented in a Statistics release?


This has been submitted as an Enhancement request to IBM SPSS Development for consideration to implement in a future release. However, IBM cannot commit if a feature will be implemented in a future release of IBM SPSS Statistics.

(Reference ID: ECM00193474)

Document information

More support for:

SPSS Statistics

Software version:

19.0, 20.0, 21.0

Operating system(s):

Platform Independent

Reference #:


Modified date:


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