What impacts SAS data set performance more - number of observations or number of variables?
After working with different data sets in SAS for a month or two, it seems to me that the more variables a data set has, the more time it takes to run PROCs and other operations on the data set.  Yet if I have for example 5 variables, but 1 million observations, performance is not impacted too much.

While I'm interested in if observations or variables affect performance, I was also wondering if there are other factors I'm missing in looking at SAS performance?

Thanks!
What impacts SAS data set performance more - number of observations or number of variables?
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After working with different data sets in SAS for a month or two, it seems to me that the more variables a data set has, the more time it takes to run PROCs and other operations on the data set.  Yet if I have for example 5 variables, but 1 million observations, performance is not impacted too much.

While I'm interested in if observations or variables affect performance, I was also wondering if there are other factors I'm missing in looking at SAS performance?

Thanks!