octave:>> [evec,eval] = eig(l)								
                
              eigenvec1	  eigenvec2	  eigenvec3	  eigenvec4	  eigenvec5	  eigenvec6	  eigenvec7	  sumsq(row): 
              0.37796	     0.01323	   0.00000	  -0.41414	  -0.36925	  -0.72618	   0.14757	  1.00000
              0.37796	    -0.14180	   0.00000	  -0.07582	  -0.10417	   0.10758	  -0.89937	  1.00000
              0.37796	     0.26795	   0.00000	  -0.06920	  -0.59555	   0.59731	   0.26286	  0.99999
              0.37796	     0.75906	   0.00000	   0.36469	   0.33646	  -0.17908	  -0.05197	  1.00000
              0.37796	    -0.40170	   0.70711	   0.39957	   0.05885	  -0.03226	   0.17782	  1.00000
              0.37796	    -0.40170	  -0.70711	   0.39957	   0.05885	  -0.03226	   0.17782	  1.00000
              0.37796	    -0.09503	   0.00000	  -0.60468	   0.61481	   0.26487	   0.18527	  0.99999
sumsq(col):   1.000	       1.000	     1.000	     1.000	     1.000	     1.000	     1.000	
              
eigenvalues   norm to [0,1]						
0.00000	      0.000						
0.00000	      0.000						
1.00000	      0.165						
1.18970	      0.196						
2.77000	      0.457						
4.33540	      0.716						
6.05780	      1.000						
              
octave:>> [evec,eval] = eig(a)								
              
              eigenvec1	  eigenvec2	  eigenvec3	  eigenvec4	  eigenvec5	  eigenvec6	  eigenvec7	  sumsq(col): 
               0.07124	  -0.67657	  -0.34011	   0.00000	  -0.42915	   0.07365	  -0.48157	  1.000
               0.65212	   0.34930	  -0.03607	   0.00000	   0.20091	  -0.25741	  -0.58720	  1.000
              -0.45244	   0.41838	  -0.36927	   0.00000	   0.12546	   0.53738	  -0.42354	  1.000
               0.21756	  -0.28561	   0.60250	   0.00000	   0.28372	   0.63706	  -0.14749	  1.000
              -0.31357	  -0.23845	   0.05885	  -0.70711	   0.45433	  -0.30516	  -0.20448	  1.000
              -0.31357	  -0.23845	   0.05885	   0.70711	   0.45433	  -0.30516	  -0.20448	  1.000
              -0.34783	   0.22341	   0.61379	   0.00000	  -0.51614	  -0.21785	  -0.37218	  1.000
sumsq(col):    1.000	     1.000	     1.000	     1.000	     1.000	     1.000	     1.000	
              
eigenvalues   norm to [0,1]						
-2.07960      0.000						
-1.46490      0.124						
-1.46490      0.124						
0.00000       0.420						
0.00000	      0.420						
0.84353	      0.590						
2.87170	      1.000						
              
https://stats.stackexchange.com/questions/70801/how-to-normalize-data-to-0-1-range						
equals (B41-MIN(B$41:B$47))/(MAX(B$41:B$47)-MIN(B$41:B$47))