Levels and GLM

I am using the as.factor command to use with glm.  When I use the command

maj <- as.factor(data.logistic$Majors)
maj

I receive the following output:
  [1] M M N M M M M N N M M M N M M M M M M M M M M M N M N N M M N M
M N M M M M M
 [40] N M N M M N M M M N M N M N M N N N M N M M M M M M N M N M M M
M M N N M M M
 [79] M M M N N M M N M N M M M M M M M M M M M M M M M N M M M M M N
M M M M M N M
[118] M M M N M N N M M M M M M M M N M N M M M M M N M M M M N M M M
N N M M M N M
[157] M M M M M M M M M M M M M N M M N N M M N M M M M M M M M M M M
M M N M N M M
[196] M N M M M M M M M M N M M M M M M M M N M M M M M M M M M M M M
M M N M M N N
[235] M M M M M N M M M M M M N N M M N M M M M M M M M M M M M M M M
M N M M M M N
[274] N M M M M M M N M M M M M M M M M M N N M N M M M M M M M M M M
N M N N M M M
[313] M M M M M M M N M M M M M N M M M M M M M M M M M M M M M N M M
M M M M M N M
[352] M N M N M M N M M M M N M M M M M M M M M M N M M N N
Levels: M N

When I enter:

logistic.glm <- glm(data.logistic$X100.Yard.Average ~ data.logistic$Overall + maj, family=binomial)
logistic.glm

I receive the following output:

Call:  glm(formula = data.logistic$X100.Yard.Average ~
data.logistic$Overall +      maj, family = binomial)

Coefficients:
          (Intercept)  data.logistic$Overall                   majN
              2.38819               -0.02718               -0.18385

Degrees of Freedom: 377 Total (i.e. Null);  375 Residual
Null Deviance:	    514.5
Residual Deviance: 410.7 	AIC: 416.7

My question:  Why is there no output for majM?  Any help would be
greatly appreciated