## DiceKriging 1.5.1

## change / DiceKriging 1.5

	* update method: It is now possible to reestimate the trend and/or the nugget effect when adding new points

	* checkNames.R: correction of a bug in function checkNames (mistake in columns permutations) + addtion of a test function


## change / DiceKriging 1.4.0 & 1.4.1
	
	* update.km : new function/method.

	* Leave-One-Out: implementation of the Dubrule's formula, see 'leaveOneOut.km'.
	
	* Estimation: 
	- in addition to MLE, cross-validation (leave-one-out) is now available when there is no nugget effect nor noisy observations. 
	- it is now possible to estimate the trend only (the covariance parameters being fixed)

	* Prediction: The trend has been added to the output list. 

	* Implementation of the derivative of the trend f(x) with respect to x, see 'trend.deltax'.

	* Minor: modification of 'computeAuxVariables' to include the case where 'model@trend.coef' has not been computed yet (then only T, M are updated, and z is set to numeric(0)).


## change / DiceKriging 1.3.3

	* addition of the class "covUser", which allows the user to provide its 
	own covariance kernel (with known parameters).
	
	* the user is now able to tune the optimization parameters of 'genoud' and 
	'BFGS' by the argument 'control' in function 'km'. Compatibility with the 
	previous 'control' option is ensured.
	
	* modification of the 'predict' method: 
		- Creation of the argument 'bias.correct': Contrarily to 
		DiceKriging<=1.3.2, the estimated (UK) variance and covariances 
		are NOT multiplied by n/(n-p) by default.
		- Creation of the argument 'light.return', that allows to save 
		memory (expert usage)
	
	* merging of 'kmNoNugget', 'km1Nugget' and 'kmNuggets' in a single file, 
	named 'kmEstimate'

	* the auxiliary functions 'covparam2vect' and 'vect2covparam' are now defined as methods.


## change / DiceKriging 1.3.2
	
	* the checkNames option is now TRUE by default, and produces a warning instead of an error. 
	In the future, it will produce an error.


## change / DiceKriging 1.3.

	* extension of methods "simulate.km" and "plot.km" to noisy observations.
	* addition of a consistency check between the input names in the design and in 
	newdata. It can be used for prediction and simulation by turning the argument 
	"checkNames" to TRUE. The checking stage is done in the new function "checkNames".  
	* creation of the function "kmData", which allows the user to give the response and 
	the design in a single "data" argument (as for lm). 
	* modifications in the documentation of km (examples), predict.km and simulate.km 
	(section warning + examples).


## change / DiceKriging 1.2

	* addition of the class "covScaling", corresponding to the general case of scaling 
	(varying number of knots per dimension). Implementation of scalingFun and scalingGrad 
	in C