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Specifically, those with a CRAFFT score of 0 and no SU in the past 12 months were classified as low-risk
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PCA applies linear transformations to project high-dimensional data onto a new set of mutually orthogonal axes, called principal components, thereby reducing the datas dimensionality while retaining as much variance as possible
Taxes help keep sales down, the team at CDCs Office on Smoking and Health reported in the journal Preventing Chronic Disease
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