Evaluate SVD of correlation structure for test statistics

1 2 3 | ```
evalCorrelationDecomp(vobj, fit, L, computeCorr = FALSE,
varianceFraction = 0.99, rank = ncol(vobj), squaredCorr = TRUE,
maxRankCarryOver = 50)
``` |

`vobj` |
voom result |

`fit` |
model fit from lmFit |

`L` |
contrast matrix |

`computeCorr` |
compute correlation matrix |

`varianceFraction` |
fraction of variance to retain after truncating trailing eigen values |

`rank` |
maximum number of principal components |

`squaredCorr` |
boolean. Evaluate the spectral decomposition of the squared correlation matrix |

`maxRankCarryOver` |
maximum rank to carry over to compute squared correlation decomposition, since this operation is O(maxRankCarryOver^4) |

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