how to normalize a dataset where the maximum value or the original dataset needs to be the lowest value of the normalized dataset

I this dataset which is the original one:

X=80:1:150

Nevertheless, I need to normalize the data or rescale it for the lowerbound to be 0.95 while the upperbound or the original dataset needs to be 0.85. The values in between need to be intermediate values between 0.95-0.85

Answer 1

[KSSV]

X=80:1:150 ;
R = rescale(X,0.85,0.95) ;