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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.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.