Dear all, I have been reading some documentations including Latent variable Modeling using R and I am confronted with some challenges. Could you please direction/guidance me with the following problem? If I am given continuous time series ?quarterly data? with three indicators (Y1, Y2 and Y3) and 5 causal variables (X1, X2, . . ., X5) and assuming one latent variable (F1). The observed variables are stationary at first difference I(1). How do i specify the model in lavaan() given that this is a time series quarterly data with continuous variables only. I would like to see a draft model specification in lavaan. Looking forward to hearing from you soon and I will give feedback. Kind regards, Peter [[alternative HTML version deleted]]