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nlq5
2004 Feb 04
1
Fitting nonlinear (quantile) models to linear data.
...39; across a range
of 'x'). As such, I am using the nonlinear quantile regression package
(nlrq) to fit a michaelis mention type model.
The errors I get (which are dependant on the quantile of interest and the
particular dataset) tend to result in illogical regression results with
the nlqr package.
To test this, I created artificial datasets that were based on underlying
asymptotic or linear data. When tested with a nonlinear model, the linear
data produces an error (step factor reduced below 'midFactor'--a problem
dealt with previously on this list). This script is b...