PCA is defined as an orthogonal linear transformation that transforms the data to a new coordinate system such that the greatest variance by some scalar projection of the data comes to lie on the first coordinate (called the first principal component), the second greatest variance on the second coordinate, and so on.[9]
That's why a 3D sphere becomes kind of a circle after the PCA
Therefore, the shift to a more private sector led model also had to confront political opposition from those who preferred the status quo. Privatization found opposition among labor unions, left-wing parties, industrialists who benefited from the SOE, in some portions of the general public, and within the SOEs themselves. The most critical opposition, however, came from within the political system -- both within the bureaucracy and among government allies in congress.
Importante falar das dificuldades encontradas no processo de privatização e das pessoas que se beneficiam da privatização e das pessoas que se beneficiam da não privatização.