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


covariance (dirac, optimized)=class=DiracCovarianceModel, amplitude=class=Point name=Unnamed dimension=1 values=[0.1957], spatialCorrelation=class=CorrelationMatrix dimension=0 implementation=class=MatrixImplementation name=Unnamed rows=0 columns=0 values=[]
trend (dirac, optimized)=[[-0.1109,1.015]]
===================================================


covariance (dirac, not optimized)=class=DiracCovarianceModel, amplitude=class=Point name=Unnamed dimension=1 values=[1], spatialCorrelation=class=CorrelationMatrix dimension=0 implementation=class=MatrixImplementation name=Unnamed rows=0 columns=0 values=[]
trend (dirac, not optimized)=[[6.892,2.373]]
===================================================


covariance (reduced, unbiased)=class=AbsoluteExponential scale=class=Point name=Unnamed dimension=1 values=[0.1328] amplitude=class=Point name=Unnamed dimension=1 values=[0.1956]
trend (reduced, unbiased)=[[-0.1034,1.014]]
===================================================


covariance (reduced, biased)=class=AbsoluteExponential scale=class=Point name=Unnamed dimension=1 values=[0.1328] amplitude=class=Point name=Unnamed dimension=1 values=[0.1907]
trend (reduced, biased)=[[-0.1034,1.014]]
===================================================


covariance (full optim)=class=AbsoluteExponential scale=class=Point name=Unnamed dimension=1 values=[0.1328] amplitude=class=Point name=Unnamed dimension=1 values=[0.1907]
trend (full optim)=[[-0.1034,1.014]]
===================================================

Test Ok
