Available NLS test problems
Returns an overview of 59 NLS test problems originating primarily from the NIST Statistical Reference Datasets (StRD) archive; Bates and Watts (1988); and More, Garbow and Hillstrom (1981).
nls_test_list(fields = c("name", "class", "p", "n", "check"))
fields: optional character vector to return a subset of columns in the data.frame .a data.frame with high-level information about the available test problems. The following columns are returned by default:
"name" Name of the test problem for use in nls_test_problem."class" Either "formula" if the model is defined as a formula or "function" if defined as a function ."p" Default number of parameters in the test problem."n" Default number of residuals in the test problem."check" One of the following three options: (1) "p, n fixed" if the listed values for p and n are the only ones possible; (2) "p \<= n free" if the values for p and n are not fixed, but p must be smaller or equal to n; (3) "p == n free" if the values for p and n are not fixed, but p must be equal to n.## available test problems nls_test_list()
D.M. Bates and Watts, D.G. (1988). Nonlinear Regression Analysis and Its Applications, Wiley, ISBN: 0471816434.
J.J. Moré, Garbow, B.S. and Hillstrom, K.E. (1981). Testing unconstrained optimization software, ACM Transactions on Mathematical Software, 7(1), 17-41.
nls_test_problem
https://www.itl.nist.gov/div898/strd/nls/nls_main.shtml
https://people.math.sc.edu/Burkardt/f_src/test_nls/test_nls.html