How can we compute the reduced dimension data matrix A with two dimensions by projection on the first two PCs? And plot the points using a scatter plot (two dimensional diagram that places each sample i according to its new dimensions ai1, ai2). We also need to discuss the observations. Are there clusters of close-by points? What is the retained variance for r = 2? Argue for or against whether these are sufficient dimensions

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