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Examples
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I think we consider masculine and feminine as a pair of orthogonalized vectors of human characteristics, the result of a sort of psychosexual Gram-Schmidt process.
Obama is a girly man 2010
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Therefore, in this idealized (orthogonalized) system it lies along the masculine axis (i.e., 60/40 becomes 100/0; this is the essence of the Gram-Schmidt process), and to the extent that women are aggressive in this scheme they are being masculine.
Obama is a girly man 2010
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#32 — The following was in a discussion Willis quoted: “The analysis is basically a multiple regression using monthly climate variables that have been orthogonalized using principal components analysis so that the explanatory variables are now completely independent of each other,…”
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That is, how does one assign physical meaning to the individual vectors of a numerically orthogonalized set of data?
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The analysis is basically a multiple regression using monthly climate variables that have been orthogonalized using principal components analysis so that the explanatory variables are now completely independent of each other, thus removing the interdependence that would have masked possible relationships with tree growth.
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In 15 their return regressions, BMt-60 and the orthogonalized version of dMt-60, t show explanatory power, but the average slope on dBt-60, t is close to zero.
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#32 ‘€” The following was in a discussion Willis quoted: “The analysis is basically a multiple regression using monthly climate variables that have been orthogonalized using principal components analysis so that the explanatory variables are now completely independent of each other,…”
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