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 class 'lm':
exVar(model, ...)
## S3 method for class 'mvr':
exVar(model, ncomp, val = FALSE, ...)
Arguments
model
a model of classes "lm" or "mvr" (from the package "pls")
ncomp
How many latent variables to use (only for mvr models)
val
use cross-vaildated predictions (only for mvr models)
...
currently unused additional arguments.
Value
returns the quotient.
References
Langsrud O, Juergensen K, Ofstad R, Naes T. 2007. Analyzing
Designed Experiments with Multiple Responses Journal of Applied Statistics
34:1275-1296.