# leaveOneOutGrad

From DiceKriging v1.5.6
by Olivier Roustant

##### Leave-one-out least square criterion - Analytical gradient

Returns the analytical gradient of `leaveOneOutFun`

.

##### Usage

`leaveOneOutGrad(param, model, envir)`

##### Arguments

- param
a vector containing the optimization variables.

- model
an object of class

`km`

.- envir
an environment specifying where to get intermediate values calculated in

`leaveOneOutFun`

.

##### Value

the gradient of `leaveOneOutFun`

at `param`

.

##### References

F. Bachoc (2013), Cross Validation and Maximum Likelihood estimations of hyper-parameters of Gaussian processes with model misspecification. *Computational Statistics and Data Analysis*, **66**, 55-69. http://www.lpma.math.upmc.fr/pageperso/bachoc/publications.html

O. Dubrule (1983), Cross validation of Kriging in a unique neighborhood. *Mathematical Geology*, **15**, 687-699.

##### See Also

*Documentation reproduced from package DiceKriging, version 1.5.6, License: GPL-2 | GPL-3*

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