Hey all,
I need some help with a cross validation. I'm new with R and as well with
statistics. I had a group work to create a tool for remote sensing class
that extracts the best bands of hyperspectral satellite images that describe
vegetation. Its a regression between a linear function of using
The key to using cv.glm is that you have to have a fitted model object with
all the data to validate. In your case, that would appear to be a model
like this:
lm(base[,ncol(base)]~NDI)
where NDI is calculated from two bands in the dataframe base. However, if
the ground truth data is independently
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