Factor Analysis via Principal Factors
DESCRIPTION:
Returns an object of class "factanal" representing the principal factor solution to the factor analysis model.
USAGE: 
factanal.fit.principal(cmat, factors, p=ncol(cmat), start=<<see below>>,
         iter.max=5, unique.tol=0.0001)
REQUIRED ARGUMENTS:
cmat:
a correlation matrix. Missing values are not accepted.
factors:
the number of factors in the model.
OPTIONAL ARGUMENTS:
p:
the number of variables (the number of rows and columns in cmat).
start:
a vector of length p giving the starting value for the uniquenesses of the variables. The default is 1 minus the maximum correlation with the other variables.
iter.max:
an integer stating the maximum number of iterations to be used.
unique.tol:
a positive number giving the tolerance for the change in uniquenesses. If no uniqueness changes by more than unique.tol from one iteration to the next, then convergence is declared.
VALUE:
an object of class "factanal" - see factanal.object for details.
SEE ALSO:
factanal , factanal.object , factanal.fit.mle .