Aliases: predict.nls
Keywords: nonlinear regression models
### ** Examples ## Don't show: od <- options(digits = 5) ## End(Don't show) require(graphics) fm <- nls(demand ~ SSasympOrig(Time, A, lrc), data = BOD) predict(fm) # fitted values at observed times
[1] 7.8874 12.5250 15.2517 16.8549 17.7975 18.6776
## Form data plot and smooth line for the predictions opar <- par(las = 1) plot(demand ~ Time, data = BOD, col = 4, main = "BOD data and fitted first-order curve", xlim = c(0,7), ylim = c(0, 20) ) tt <- seq(0, 8, length.out = 101) lines(tt, predict(fm, list(Time = tt)))
par(opar) ## Don't show: options(od) ## End(Don't show)