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  "Description": "Provides statistical procedures for linear regression in\nthe general context where the errors are assumed to be\ncorrelated. Different ways to estimate the asymptotic\ncovariance matrix of the least squares estimators are\navailable. Starting from this estimation of the covariance\nmatrix, the confidence intervals and the usual tests on the\nparameters are modified. The functions of this package are very\nsimilar to those of 'lm': it contains methods such as\nsummary(), plot(), confint() and predict(). The 'slm' package\nis described in the paper by E. Caron, J. Dedecker and B.\nMichel (2019), \"Linear regression with stationary errors: the R\npackage slm\", arXiv preprint <arXiv:1906.06583>.",
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