File: t_GeneralLinearModelAlgorithm_std.expout

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===================================================


covariance (dirac, optimized)= DiracCovarianceModel(t)=[[ 0.03832 ]] * t==[0]
trend (dirac, optimized)= [-0.1109,1.015]
===================================================


covariance (dirac, not optimized)= DiracCovarianceModel(t)=[[ 1 ]] * t==[0]
trend (dirac, not optimized)= [-0.1109,1.015]
===================================================


covariance (dirac, not optimized)= DiracCovarianceModel(t)=[[ 1 ]] * t==[0]
trend (dirac, not optimized)= [-0.1109,1.015]
===================================================


covariance (reduced, unbiased)= AbsoluteExponential(scale=[0.1328], amplitude=[0.1956])
trend (reduced, unbiased)= [-0.1034,1.014]
===================================================


covariance (reduced, biased)= AbsoluteExponential(scale=[0.1328], amplitude=[0.1907])
trend (reduced, biased)= [-0.1034,1.014]
===================================================


covariance (full optim)= AbsoluteExponential(scale=[0.1328], amplitude=[0.1907])
trend (full optim)= [-0.1034,1.014]
===================================================