(SVD) why does the first right singular vector minimise the sum of squared distances to a projection?

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for days now i've been searching the whole internet to find an answer on this question but I didn't find anything. Can anyone please help me on that or give me a hint?

I need to prove that the first right singular vector minimises the sum of squared distances to a projection

Thanks.