STK_EXAMPLE_KB02  Ordinary kriging in 1D with parameter estimation

 This example shows how to estimate covariance parameters and compute
 ordinary kriging predictions on a one-dimensional noiseless dataset.

 The model and data are the same as in stk_example_kb01, but this time the
 parameters of the covariance function are estimated using the Restricted
 Maximum Likelihood (ReML) method.

 See also: stk_example_kb01, stk_example_kb02n