corr_model<-'
f1=~q1+q2+q3
f2=~q4+q4+q6
f3=~q7+q8+q9
#explicity indicate correlation between factors,it's dull to input when you have more than 10 factors
f1~~f2
f1~~f3
f2~~F3
'
res1<-cfa(corr_model,df)
without_corr_model<-'
f1=~q1+q2+q3
f2=~q4+q4+q6
f3=~q7+q8+q9
'
res2<-cfa(without_corr_model,df,orthogonal.y=FALSE)
Does `res1` alway equal to `res2`?