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In PROC MEANS, the analysis is focused on generating summary statistics such as mean, standard deviation, and totals from the data provided. A key requirement for a variable to be included in this analysis is that it must be numeric. This is because PROC MEANS is designed to compute statistical summaries that are mathematically applicable to numerical data.

While it is true that unique identifiers may not add value to the summary statistics created by PROC MEANS, it is not the primary condition that disallows a variable. In fact, unique identifiers are often numeric, and while their analysis in terms of summary statistics may not be useful, they are not explicitly excluded from being included.

The requirement that the variable must contain valid observations is also crucial; if a variable has all missing or invalid observations, it cannot participate in the analysis. Similarly, character variables cannot be used in PROC MEANS, as the procedure relies on numerical calculations.

Thus, the condition that disallows inclusion in PROC MEANS analysis is primarily focused on whether the variable is numeric, making it essential for the analysis intended by this procedure.