Nearly all of the variance explained by the model is due to the first two discriminant functions. Three functions are fit automatically, but due to its minuscule eigenvalue, you can fairly safely ignore the third. Wilks' lambda agrees that only the first two functions are useful. For each set of functions, this tests the hypothesis that the means of the functions listed are equal across groups. The test of function 3 has a significance value greater than 0.10, so this function contributes little to the model.