Running ‘LKrig.FindNorm.test.R’ [11s/14s]
  Comparing ‘LKrig.FindNorm.test.Rout’ to ‘LKrig.FindNorm.test.Rout.save’ ... OK
  Running ‘LKrig.LKCylinder.test.R’ [2s/3s]
  Comparing ‘LKrig.LKCylinder.test.Rout’ to ‘LKrig.LKCylinder.test.Rout.save’ ... OK
  Running ‘LKrig.LKSphere.test.R’ [11s/14s]
  Running ‘LKrig.basis.test.R’ [4s/5s]
  Comparing ‘LKrig.basis.test.Rout’ to ‘LKrig.basis.test.Rout.save’ ... OK
  Running ‘LKrig.fixedPart.test.R’ [7s/8s]
  Comparing ‘LKrig.fixedPart.test.Rout’ to ‘LKrig.fixedPart.test.Rout.save’ ... OK
  Running ‘LKrig.lnPLike.test.R’ [30s/37s]
  Running ‘LKrig.nullspace.test.R’ [7s/9s]
  Comparing ‘LKrig.nullspace.test.Rout’ to ‘LKrig.nullspace.test.Rout.save’ ... OK
  Running ‘LKrig.precision.test.R’ [13s/18s]
  Comparing ‘LKrig.precision.test.Rout’ to ‘LKrig.precision.test.Rout.save’ ... OK
  Running ‘LKrig.se.test.R’ [41s/54s]
  Comparing ‘LKrig.se.test.Rout’ to ‘LKrig.se.test.Rout.save’ ...
24,79d23
< Warning message:
< In Krig(x, y, lambda = lambda, m = 2, cov.function = "LKrig.cov",  :
<    Z  as  an arguments has been renamed to XMat within the function
<     to be more consistent with spatial process model notation. 
<     Please use the XMat argument in the call to Krig avoid this warning. 
< Warning messages:
< 1: In predict.Krig(object, x = x0, yM = ytemp, lambda = lambda, eval.correlation.model = eval.correlation.model,  :
<    Z,  drop.Z  as arguments 
<         have been changed to XMat and drop.XMat to be more consistent
<         with a spatial model notation. 
<         In the future please use these instead. 
< 2: In predict.Krig(object, x = x0, yM = ytemp, lambda = lambda, eval.correlation.model = eval.correlation.model,  :
<    Z,  drop.Z  as arguments 
<         have been changed to XMat and drop.XMat to be more consistent
<         with a spatial model notation. 
<         In the future please use these instead. 
< 3: In predict.Krig(object, x = x0, yM = ytemp, lambda = lambda, eval.correlation.model = eval.correlation.model,  :
<    Z,  drop.Z  as arguments 
<         have been changed to XMat and drop.XMat to be more consistent
<         with a spatial model notation. 
<         In the future please use these instead. 
< 4: In predict.Krig(object, x = x0, yM = ytemp, lambda = lambda, eval.correlation.model = eval.correlation.model,  :
<    Z,  drop.Z  as arguments 
<         have been changed to XMat and drop.XMat to be more consistent
<         with a spatial model notation. 
<         In the future please use these instead. 
< 5: In predict.Krig(object, x = x0, yM = ytemp, lambda = lambda, eval.correlation.model = eval.correlation.model,  :
<    Z,  drop.Z  as arguments 
<         have been changed to XMat and drop.XMat to be more consistent
<         with a spatial model notation. 
<         In the future please use these instead. 
< 6: In predict.Krig(object, x = x0, yM = ytemp, lambda = lambda, eval.correlation.model = eval.correlation.model,  :
<    Z,  drop.Z  as arguments 
<         have been changed to XMat and drop.XMat to be more consistent
<         with a spatial model notation. 
<         In the future please use these instead. 
< 7: In predict.Krig(object, x = x0, yM = ytemp, lambda = lambda, eval.correlation.model = eval.correlation.model,  :
<    Z,  drop.Z  as arguments 
<         have been changed to XMat and drop.XMat to be more consistent
<         with a spatial model notation. 
<         In the future please use these instead. 
< 8: In predict.Krig(object, x = x0, yM = ytemp, lambda = lambda, eval.correlation.model = eval.correlation.model,  :
<    Z,  drop.Z  as arguments 
<         have been changed to XMat and drop.XMat to be more consistent
<         with a spatial model notation. 
<         In the future please use these instead. 
< 9: In predict.Krig(object, x = x0, yM = ytemp, lambda = lambda, eval.correlation.model = eval.correlation.model,  :
<    Z,  drop.Z  as arguments 
<         have been changed to XMat and drop.XMat to be more consistent
<         with a spatial model notation. 
<         In the future please use these instead. 
< 10: In predict.Krig(object, x = x0, yM = ytemp, lambda = lambda, eval.correlation.model = eval.correlation.model,  :
<    Z,  drop.Z  as arguments 
<         have been changed to XMat and drop.XMat to be more consistent
<         with a spatial model notation. 
<         In the future please use these instead. 
  Running ‘LKrig.test.3D.R’ [13s/17s]
  Comparing ‘LKrig.test.3D.Rout’ to ‘LKrig.test.3D.Rout.save’ ... OK
  Running ‘LKrig.test.Nonstationary.R’ [5s/5s]
  Running ‘LKrig.test.R’ [56s/66s]
  Comparing ‘LKrig.test.Rout’ to ‘LKrig.test.Rout.save’ ... OK
  Running ‘LKrig.test.inverse.R’ [3s/4s]
  Comparing ‘LKrig.test.inverse.Rout’ to ‘LKrig.test.inverse.Rout.save’ ... OK
  Running ‘LKrig.testFindAwght.R’ [99s/115s]
  Comparing ‘LKrig.testFindAwght.Rout’ to ‘LKrig.testFindAwght.Rout.save’ ... OK
  Running ‘LKrigMarginalVariance.test.R’ [3s/4s]
  Comparing ‘LKrigMarginalVariance.test.Rout’ to ‘LKrigMarginalVariance.test.Rout.save’ ... OK
  Running ‘LKrigNormalizeBasis.test.R’ [18s/22s]
  Comparing ‘LKrigNormalizeBasis.test.Rout’ to ‘LKrigNormalizeBasis.test.Rout.save’ ... OK
  Running ‘LKrigSetup.test.R’ [2s/2s]