Nothing
nonlinear_bet(),
nonlinear_langmuir(), nonlinear_freundlich(), nonlinear_temkin())
where computing the model summary could fail on singular-gradient fits.
summary.nls() calls chol2inv(), which errors on some BLAS/LAPACK and
CPU configurations (notably BLIS and arm64 Linux) when the gradient is
singular, causing the examples and vignette to halt. The summary is now
computed defensively: if it cannot be formed, the function returns NULL
for the model summary (with a warning) instead of stopping. This resolves
the CRAN "Additional issues" failures on BLIS and linux-arm64.Any scripts or data that you put into this service are public.
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