###--- >>> `multinom' <<<----- Fit Multinomial Log-linear Models

	## alias	 help(multinom)
	## alias	 help(add1.multinom)
	## alias	 help(anova.multinom)
	## alias	 help(coef.multinom)
	## alias	 help(drop1.multinom)
	## alias	 help(extractAIC.multinom)
	## alias	 help(predict.multinom)
	## alias	 help(print.multinom)
	## alias	 help(print.multinom)
	## alias	 help(summary.multinom)
	## alias	 help(print.summary.multinom)
	## alias	 help(vcov.multinom)

##___ Examples ___:

options(contrasts = c("contr.treatment", "contr.poly"))
library(MASS)
example(birthwt)
bwt.mu <- multinom(low ~ ., bwt)
bwt.mu
##Don't run: Call:
##D multinom(formula = low ~ ., data = bwt)
##D 
##D Coefficients:
##D  (Intercept)         age         lwt raceblack raceother  
##D     0.823477 -0.03724311 -0.01565475  1.192371 0.7406606
##D      smoke      ptd        ht        ui       ftv1     ftv2+ 
##D   0.7555234 1.343648 1.913213 0.6802007 -0.4363238 0.1789888
##D 
##D Residual Deviance: 195.4755 
##D AIC: 217.4755 


## Keywords: 'neural', 'models'.


