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...near regression by minimising the sum of the sum of squares. The model is number[2]-(x/number[1])^number[3] Number [2] and number [1] change as the data changes but for all the set of data number[3] must be identical. I have 3 set of data (x1,y1), (x2,y2), (x3,y3). x_a<-c(0,0.5,1,1.5,2,3,4,6) y_a<-c(5.4,5,4.84,4.3,4,2,1.56,1.3) x_b<-c(0,1,2,3,4,5,6,7,8,9,10,11,12) y_b<-c(5.34,4.98,4.66,4.06,3,3.4,2.7,2.9,2.6,2.6,1.9,1.3,1.4) x_c<-c(0,3,6,8,10,12,14,16,18,20,24,26,28,30) y_c<-c(5.5,5.1,4.3,4,3.7,3.2,3.04,2.778,2.56,2.25,1.78,1.44,1.32,1.2) x<-c(x_a,x_b,x_c) y<-c(y_a,y...

...lp me, it will be great.... I have try an other program where y and x are directly calculate in sce function but the time of running was to long. Thanks in advance, Anne KERVAHU rm(list=ls()) nbr=10 #list of data x_a<-c(0,0.5,1,1.5,2,3,4,6,8,15,20,40,60,80,120) y_a<-c(5.4771213,5.0791812,4.8450980,4.3010300,4,2.30103,1.5563025,1.30103,1 ,1.6434527,0.60206,0.60206,0.30103,0,0.4771213) x_b<-c(0,1,2,3,4,5,6,7,8,9,10,11,12,13,14) y_b<-c(5.3424227,4.9867717,4.6627578,4.0606978,3.07182,3.4771213,2.7993405,2 .9395193,2.69897,2.6127839,1.9777236,...