Thanks for the correction re the squatre term .... duh!
Am sending off-line a zip file with one summ file and 12 detl files for the regression Ruq = lnc on (lnu,(lnu)^2).
The summary file has 12 rows (one per length interval) with the following col hdrs:
Fold a1 Frame N DiSet 1 SetTyp S NmbrDics 63 uLevl uA (all) cTyp cA (avg) LenID 1-12 obsN Observation Count uMean mean ln(u) qMean mean q, where q = (ln(u))^2 RuqResVar Residual Variance RuqInt Intercept RuqSl_u Slope for ln(u) RuqSl_q Slope for q RuqIntSE Intercept SE RuqSl_uSE ln(u) Slope SE RuqSl_qSE q Slope SE CRuq_1_1 CoVar Cell (1,1) CRuq_1_2 etc. CRuq_1_3 CRuq_2_1 CRuq_2_2 CRuq_2_3 CRuq_3_1 CRuq_3_2 CRuq_3_3
The detail files are for lengths 1-12 and have the col hdrs:
ChnID Observation ID u Raw u c Raw c L Raw L lnc ln(c) lnu ln(u) (lnu)^2 ((ln(u))^2 RuqRes Associated Residual
(You can cross-check the residual here using the coefficients in the summary file for the corresponding length interval.)
If I were to develop 2-ways and 3-ways as you previously instructed me to, I would operate on files like the summary file to develop averages per fold across length intervals, and then roll-up these intermediate results across folds.
But you?ve implied that something different has to be done here, so I will await further instruction/clarification. In the meantime, I will develop the summary files for the remaining cells of the model.