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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)
When factors correlated,we know factors are not orthogonal.