What are the different ways to remove multicollinearity?
You can't "remove" multicollinearity from your data. It's in there, its not going away.
You can analyze the data in such a way that the multicollinearity has (hopefully) little effect on the results. One method is called Partial Least Squares regression, or PROC PLS in SAS. Naturally, this works only in a regression situation, other types of analyses call for other methods.
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ANOVA, or Analysis Of Variance, is used to compare the averages or means of two or more populations to better understand how they differ. Watch this tutorial for more.
Find more tutorials on the SAS Users YouTube channel.