| factor.residuals {psych} | R Documentation |
The basic factor or principal components model is that a correlation or covariance matrix may be reproduced by the product of a factor loading matrix times its transpose. Find the residuals of the original minus the reproduced matrix. Used by factor.fit, VSS, ICLUST, etc.
factor.residuals(r, f)
r |
A correlation matrix |
f |
A factor model matrix |
R* = R - F'F is the basic factor equation.
rstar is the residual correlation matrix.
Maintainer: William Revelle <revelle@northwestern.edu>
## The function is currently defined as
function(r, f) {
rstar<- r- factor.model(f)
return(rstar)}