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Posted 07-27-2016 08:33 AM
(1756 views)
Hi
May you please assist, from the below syntax for an augumented design
Proc glm;
Class blk X C;
Model NP NE MOI FW GW GLS PLS HM1 MSV GDS = blk C X(C);
RANDOM BLK/TEST;
lsMEANS C X(C)/STDERR;
RUN;
i am getting no-est for the LS mean
3 REPLIES 3
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Try : Model NP NE MOI FW GW GLS PLS HM1 MSV GDS = blk C X(C) / solution ;
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Hi Esteemed
The output that came out has anova tables that do not have F-values and P>F. There is also no values for Coeff var and root MSE. For the estimates there are also no value for sterror, t Value and Pr >/t/. The LSmean is still Non-est. May you please assist again.
The output that came out has anova tables that do not have F-values and P>F. There is also no values for Coeff var and root MSE. For the estimates there are also no value for sterror, t Value and Pr >/t/. The LSmean is still Non-est. May you please assist again.
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The non-estimability is almost certainly due to empty cells. You are fitting C and X*C, and if every level of C is not "connected" for every level of X, then C cannot be estimated at the levels where connection doesn't happen. See the documentation regarding estimable functions for more depth on this. As a way to check this, add this statement to your GLM:
MEANS X(C);
and look for missing cells.
Steve Denham