 Ok, thank you sir for giving me my panel. This is the gap project, case studies of Cameroon. We have chosen some not-puff of the man report to present here. You can see, during the period of 30 Cameroon's first phase, it's a period of economy decline from 1987 to 1992. And the second phase is a period of post-evaluation recovery since 1994. As you can see in the figure, from 1994 to date, there is a recovery of economic law growth due generally of the implementation by the Government of Cameroon structure adjustment program and the devaluation of the CFA France against French France in 1994. We use in this study two main data. The first set of data are household surveys, namely Anquête Cameroon de la Prédeménage of 1996, 2001 and 2007. And the second set of data used in this study are demographic and health and health survey of 1991, 1998, 2004 and 2011. The methodology used to come up with the consumption poverty was to set up a poverty line using the cost of business method under you, the first time we had to make a indices to calculate the indices of poverty. This is the result obtained and the results showed that the poverty had come from 1996 to 2001 and from 2001 to 2007 the poverty did not change. But what we observe also, there was a reduction in rural, urban poverty line between 2001 and 2007. And on the regional level, there was an increase in the poverty in the northern region that is this part of the country. You can see here in this table. That's what concerned the monetary poverty. We chose to present here only the result coming from the DHS survey about the non-monetary poverty. And there are many indicators. We have chosen some of the indicators to present here. But for the time being, I'm going to focus only on two indicators, namely education and health. Concerning education, we know that there is improvement. LVIS in 1991, much lower in the northern region, let's say this part of the country. And poor school attendance, also lower in the north and lower in the north. Now if you come to the health indicator, we observe that the chart infant mortality rate has not improved except in 2004 to 2011. And it's very high in northern region, let's say this part of the country. If you take malnutrition, you observe only that it wasn't between 1991 to 2004, but started to improve since then. The other indicators are there, but I think that we have the main picture of what we were trying to do so. And in conclusion, I think that during the test last year, the U1 poverty was reduced by growth and fell to reduce rural poverty. In terms of their health, he showed the improvement in many indicators, including education and housing over a longer period. But only recently in health health have come. The situation was in the north part of the country. For most indicators, they progress in non-monetary outcome there too. There are many other part of this report who are not, who is not present here. Because we try to measure to explain the change in poverty using that revolution methodology and taking into account the inflation and so on to make the consensus. All the results also are supported by the graphical analysis of dominance analysis. He's not present here. And for the moment, we do not apply the Y to software for some problem. What we are going to do to the next phase is to use the gap program to calculate the regional poverty and then make comparison with those results and to conclude the report. That's what I can say for the time being. This is the work of the pro-bets. I am with Professor Andy and many other co-workers. Thank you very much.