exVar: calculate variance of a distribution stemming from prediction models
Description
calculates a quotient of the overall varriance within a predicted
distribution to that from the original one. This function calculates a naive extension of the univariate R^2-value by
dividing the variance in the predicted dat by the variance of the original
data. No additional adjustments are made!!
Usage
exVar(model, ...)
# S3 method for lm
exVar(model, ...)
# S3 method for mvr
exVar(model, ncomp, val = FALSE, ...)
Value
returns the quotient.
Arguments
model
a model of classes "lm" or "mvr" (from the package "pls")
...
currently unused additional arguments.
ncomp
How many latent variables to use (only for mvr models)
val
use cross-vaildated predictions (only for mvr models)
Author
Stefan Schlager
References
Langsrud O, Juergensen K, Ofstad R, Naes T. 2007. Analyzing
Designed Experiments with Multiple Responses Journal of Applied Statistics
34:1275-1296.