3f0014d5-cd70-46bb-94d3-ff9701c5890b 13 4 5 decimal

&[DATE] &[TIME] - &[FILENAME]

Orphan polyfit [orphan of X's values]

For this orphan vector, it is tempting to fit a function. A 5th degree polyfit is OK. The "user scale" is 0.5 in this polyfit demo. It can be anything to suit experiment. We can shift the fit, unshifted fit is better.

Y 0.112346 0.444691 1.107037 2.209383 2.75 2.64 1.76 081 mat :

scale 0.5 :

shift 0 :

XY i 1 Y rows range X i el i scale / : for X Y augment 21 line :

x XY 1 col shift - : y XY 2 col : degree 5 : 31 line

i 1 y length range j 1 degree range M i j el x i el (j^: for for 11 line

XY 2 0.112346 4 0.444691 6 1.107037 8 2.209383 10 2.75 12 2.64 14 1.76 16082 mat

M 248163241664256102463621612967776864512409632768101001000100001105^* 12144172820736 2.48832 105^* 14196274438416 5.37824 105^* 16256409665536 1.048576 106^* 85 mat

k M transpose M * (1 -^M transpose * y * :

k 0.088525 0.060087 - 0.024097 0.002169 - 5.474234 105 -^* 51 mat

M transpose M * (1 -^1.8683 0.916 - 0.1512 0.0103 - 0.0002 0.916 - 0.4755 0.0814 - 0.0057 0.0001 - 0.1512 0.0814 - 0.0143 0.001 - 2.4894 105 -^* 0.0103 - 0.0057 0.001 - 7.2301 105 -^* 1.8029 106 -^* - 0.0002 0.0001 - 2.4894 105 -^* 1.8029 106 -^* - 4.533 108 -^* 55 mat

u f k i el u i^* (i 1 k length sum 11 line :

i 1 XY rows range p i el . : for

data x y p augment :

User scaled polyfit. Note that some extrapolation is possible.

data x f 2 1 sys

5 f 0.7682