Date:         Thu, 27 May 2004 15:22:26 -0400
Reply-To:     Lalaine Valignota <lvalignota@ALLANTGROUP.COM>
Sender:       "SAS(r) Discussion" <SAS-L@LISTSERV.UGA.EDU>
From:         Lalaine Valignota <lvalignota@ALLANTGROUP.COM>
Subject:      PROC GLM - LSMEANS

Does anyone know why I am getting non-est lsmeans?

*********************************************************************
Program:
proc glm data=ana;
  class product_offer_new pdb_list_type_new zip10r_seg;
  model resp=product_offer_new pdb_list_type_new zip10r_seg /solution;
  weight season_effect_weight;
  lsmeans product_offer_new  /stderr pdiff  out=prod_adjmeans;
  lsmeans pdb_list_type_new  /stderr pdiff  out=list_adjmeans;
  lsmeans zip10r_seg /stderr pdiff  out=zip_score_adjmeans;


Class                Levels  Values
PRODUCT_OFFER_NEW        10
PDB_LIST_TYPE_NEW         4
ZIP10R_SEG               20

Output:
NOTE: The X'X matrix has been found to be singular, and a generalized
inverse was used to solve
      the normal equations.  Terms whose estimates are followed by the
letter 'B' are not
      uniquely estimable.

The GLM Procedure
Least Squares Means

PRODUCT_OFFER_                        LSMEAN
NEW                  RESP LSMEAN      Number

Commits                  Non-est           1
Competitor Price         Non-est           2
Content                  Non-est           3
General Price            Non-est           4
Intro Price              Non-est           5
Offer                    Non-est           6
Premium Offers           Non-est           7
Premium Services         Non-est           8
Price Choice             Non-est           9
Registration             Non-est          10