sp counts for training set

 c  s  v 
27 21 27 

Results of lda (Linear Discriminant Analysis)
Call:
lda(sp ~ ., data = irisdata, prior = c(1/3, 1/3, 1/3), subset = training)

Prior probabilities of groups:
        c         s         v 
0.3333333 0.3333333 0.3333333 

Group means:
  Sepal.L. Sepal.W. Petal.L. Petal.W.
c 6.766667 2.977778 5.674074 2.018519
s 5.042857 3.433333 1.490476 0.252381
v 6.659259 2.996296 5.670370 2.000000

Coefficients of linear discriminants:
               LD1       LD2
Sepal.L. -1.163454 -3.153546
Sepal.W. -1.184324  2.143669
Petal.L.  2.142509  2.893212
Petal.W.  2.009228 -3.345078

Proportion of trace:
   LD1    LD2 
0.9989 0.0011 

Predicted sp values for test set.
 [1] s s s s s s s s s s s s s s s s s s s s s s s s s s s s s v c v v v c v c c
[39] v c v v v c v c c v c c v v v c c c v c c v v v c v v c v c c c v c c c c
Levels: c s v