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Other versions, he added, fit the data quite well.
The bifactor model fit the data best.
A polynomial model will be used to fit the data.
The model appropriately fit the data measured in the survey.
Regression models were developed to fit the data.
Taking into account these dependencies on ∆E we can fit the data using the relation.
An exponential decrease was found to fit the data well (Appendix, Figure S3).
We change the normalization of the second Gaussian to be somewhat smaller, then fit the data.
And then we get a measure of how well that regression seems to fit the data.
Users can now proceed directly to model and fit the data.
I actually had to get a new computer to fit the data.
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