I don't know of a SAS option that will support what you want. You can exclude the certainty PSUs from your data set and re-run your code. Your point estimates won't be what you want but standard errors/variances will be. Combine the point estimates from your run of the code with all PSUs with the variance estimates from your run of the code that excludes the certainty PSUs. You'll need to manually create CIs and such; including hypothesis testing. I'm assuming here that you have a single-stage design. If you have two or more stages of sampling then you should be accounting for variability within PSUs, even certainty PSUs, arising due to the sampling within PSUs. p.s. this approach really is only for totals and linear functions of totals. It's approximate for non-linear functions of totals. If you have statistics which aren't functions of totals (such as implicitly defined estimates associated with, for example, regression estimates) then this method isn't necessarily going to be what you want.
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