1.80-6: 2013/03/26
	
	1. Corrected a memory mapping bug in predictLinear.c

1.80-5: 2013/03/25

	1. Suppress printing to stdout in linear.cpp, tron.cpp
	
	2. Suppress the use of exit(1); in predictLinear.c

	3. Correct a bug when retrieving weights from C to R for multi-class models
 
1.80-4: 2011/04/21

	1. Correct bugs in linear.cpp (update of solve_l1r_l2_svc and solve_l1r_lr)

1.80-3: 2011/04/20
	
	1. Add:

	extern "C" 

	before each function below :

	//
	// Interface function
	//
	
	in linear.cpp

	2. Suppress useless functions:

	- save_model
	- load_model
	
	in:
	
	linear.cpp
	linear.h	

	3. change all "fprintf" into Rprintf in :
	linear.cpp
	trainLinear.c
	predictLinear.c

	4. change:

	#define Malloc(type,n) (type *)malloc((n)*sizeof(type)) 

	into 

	#define Malloc(type,n) (type *)Calloc(n,type)

	in:
	trainLinear.c
	linear.cpp

	5. replace all the malloc((n)*sizeof(type)) by Calloc(n,type) in predictLinear.c

	5. replace all the realloc(*p,size) by Realloc(*p,n,type) in linear.cpp

	7. replace all free() by Free() in:

	trainLinear.c
	predictLinear.c
	linear.cpp

	8. Add
	
	#include <R.h>
	#include <Rinternals.h>
	#include <R_ext/Rdynload.h>
	
	in linear.cpp

1.80-2: 2011/04/12

	1. Incorporate changes from LIBLINEAR versions 1.51 to 1.80:
		- Use set_print_string_function to set the print function
		- Add free_model_content and free_and_destroy_model functions (avoid memory problem if users declare a model variable)
		- Add check_probability_model (consistent with libsvm)
		- A new solver: coordinate descent for dual logistic regression
		- New optimization method for l1-regularized logistic regression
		- linear.cpp: 
			* Use 1-norm stopping condition for l1-regularized solvers 
			* newton_iter < l/10 replaced by newton_iter <= l/10 in l2r_lr_dual (for l < 10)
		
	2. predict.LiblineaR function can return additional information:
		- probabilities (only for logistic regression models)
		- decision values