Different colour palettes for two different colour aesthetic mappings in ggplot2

My question is very similar to this and this and also this question. I have a scatterplot (using geom_point) coloured by a factor, using a particular colour palette. I'm using stat_smooth to draw certain smoothing lines through the points, grouped by another factor. I'd like these lines to use a different colour palette.

Here is a Dropbox link to some example data. Just do a

currDT <- read.table("SO_data", sep = "|", header = TRUE, strip.white = TRUE)

I usually have my data in a data.table, so you might find it helpful change that as well. Oh and here is the colour scheme I'm using at the moment, you can use scale_colour_brewer to generate your own, I'm just including this for completeness.

my_col_scheme <- c("#e41a1c", "#377eb8", "#4daf4a", "#984ea3", "#ff7f00", "#7B8A7B",
    "#0B29D6", "#f781bf", "#999999", "black")

Hopefully that is clear enough. Here is some example code:

icorr_elec <- ggplot(currDT,
                aes(x = EFP, y = SAPT), na.rm = TRUE) +
    geom_point(aes(colour = Anion, shape = Cation),  size = 3, alpha = 0.4) +
    scale_colour_manual(values = my_col_scheme) +
    stat_smooth(method = "lm", formula = y ~ x + 0, aes(linetype = Halide, colour = Halide), 
            alpha = 0.8, size = 0.5, level = 0) +
    scale_linetype_manual(name = "", values = c("dotdash", "F1"),
                      breaks = c("hal", "non-hal"), labels = c("Halides", "Non-Halides"))

How can this be done in ggplot2? From the other questions I gathered I could specify each line manually, but I'd like to avoid that.