MGH10 {NISTnls} | R Documentation |
The MGH10
data frame has 16 rows and 2 columns.
This data frame contains the following columns:
This problem was found to be difficult for some very good algorithms.
See More, J. J., Garbow, B. S., and Hillstrom, K. E. (1981). Testing unconstrained optimization software. ACM Transactions on Mathematical Software. 7(1): pp. 17-41.
Meyer, R. R. (1970). Theoretical and computational aspects of nonlinear regression. In Nonlinear Programming, Rosen, Mangasarian and Ritter (Eds). New York, NY: Academic Press, pp. 465-486.
data(MGH10) plot(y ~ x, data = MGH10) ## check plot on log scale for shape plot(y ~ x, data = MGH10, log = "y") ## Not run: ## starting values for this run are ridiculous fm1 <- nls(y ~ b1 * exp(b2/(x+b3)), data = MGH10, trace = TRUE, start = c(b1 = 2, b2 = 400000, b3 = 25000)) ## End(Not run) fm2 <- nls(y ~ b1 * exp(b2/(x+b3)), data = MGH10, trace = TRUE, start = c(b1 = 0.02, b2 = 4000, b3 = 250)) ## Not run: fm3 <- nls(y ~ exp(b2/(x+b3)), data = MGH10, trace = TRUE, start = c(b2 = 400000, b3 = 25000), algorithm = "plinear") ## End(Not run) fm4 <- nls(y ~ exp(b2/(x+b3)), data = MGH10, trace = TRUE, start = c(b2 = 4000, b3 = 250), algorithm = "plinear")