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rnon-linear-regression

Only getting a single value from predict.nls - why?

I'm running the folllowing to get predicted/fitted values:

library(RCurl)
data <- getURL("https://gist.githubusercontent.com/aronlindberg/a8a6644a639c35ceb9d9/raw/5b7c13bbcd439dacbca70e07c96b6c33804273d2/data.csv")
object <- read.csv(text = data)
mod <- nls(formula = "solution_complexity ~ problem_complexity", data=object, start = list(problem_complexity=0))
predict(mod)

However, this only gives me a single value. How can I get all the predicted values?

Solution

  • If I do 

    predict(mod, newdata = object[, "problem_complexity", drop = FALSE])

[1]  2  6  4  3  3  4  8 16  7  5  3 12  4  3  9  2  1  5  1  1  4  6  2  5

    it appears to work.