search for: e_xs

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2012 Jun 28
0
How to calculate Confidence Interval for a prediction using Partial Regression?
Dear all, I have two highly correlated variables (y and x), and both of them depend on a third variable (A, for Area). Multiple regression (y=a+(b*x)+(c*A)) would have collinearity problems, so I decided to do a partial regression to predict y. I did it this way: - I regressed y to A, and calculated the residuals (e_y) (reg1) - I regressed x to A, and calculated the residuals (e_x) (reg2)
2011 Jul 28
1
sorting data from dataframe with oter dataframe
...csv.file with data on number of factors (every column got the name of the factor as header and the data below). on another csv file, i've got the factors sorted by their type. for example- c1=read.csv('C:/R/c1.csv', header= TRUE) urrDate A_XS b_XS c_XS d_XS e_XS 1 01/01/1996 0 0.0000 0 0.0000 2.7220 2 02/01/1996 0 2.3232 0 2.2960 2.7179 3 03/01/1996 0 2.3368 0 2.3087 2.7004 4 04/01/1996 0 2.3395 0 2.3173 2.6821 5 07/01/1996 0 2.3226 0 2.3072 2.6852 6 08/01/1996 0 2.3385...