exVar: calculate variance of a distribution stemming from a prediction model
Description
calculates a quotient of the overall varriance within a predicted distribution to
that from the original one
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.
Details
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!!
References
Langsrud O, Juergensen K, Ofstad R, Naes T. 2007. Analyzing Designed Experiments with Multiple Responses Journal of Applied Statistics 34:1275-1296.