just an observation. You show mean adjusted variables. Standardised would divide by stdevn.
Perhaps thar might account for the difference ?
But then, it's been sometime since I worked on PCA!
regards
Brian

Brian J Revell
Professor Emeritus
Agricultural and Food Economics
Harper Adams University
Newport
Shropshire
TF10 8NB
Tel 01952815237.

Sent from my Galaxy S8+

On Mon, 6 Dec 2021, 15:12 , <francesco.delledonne@unicredit.eu> wrote:
Dear all,

many thanks for accepting me in this thread.
I have been a student user of Grelt and now trying to grab it again for PCA modelling in my current work.
I tried to replicate the score calculation as provided by Gretl (PC1, PC2 etc vectors that you can store and save after running the PCA command) but i cannot seem to derive those as simply:
PC Factors = Eigenvectors * standardized original variables (x - mean).
Where am i making a mistake?

Thanks for all your wonderful contribution,

Best

Francesco
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