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<p class="MsoNormal">Reading the lsq_splin function help, should help in this case:<o:p></o:p></p>
<p class="MsoNormal">The error “There are not enough points to adjust” is due to the fact that the 3rd input to lsq_splin (‘x’ the list of breakpoints of the cubic spline) has values all lying outside the input vt12 variable range (39.49 to 155.62).<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><b>From:</b> users <users-bounces@lists.scilab.org> <b>On Behalf Of
</b>Daniel Stringari<br>
<b>Sent:</b> Saturday, April 11, 2020 3:06 AM<br>
<b>To:</b> Users mailing list for Scilab <users@lists.scilab.org><br>
<b>Subject:</b> Re: [Scilab-users] spline and color plot on the chart<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
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<p class="MsoNormal">Federico,<br>
<br>
I appreciate the help. Below is a list of the code on which I try to plot the data with Isq_splin:<br>
<br>
c = size (vt12)<br>
a = 0<br>
b = c (1) // c (1) = 16<br>
n = c (1)<br>
x = linspace (a, b, n)<br>
[y, d] = lsq_splin (vt12, vv12, x ')<br>
plot (y, d, 'r')<br>
xlabel ('Speed (rpm)')<br>
ylabel ('Torque (Nm)')<br>
title ('Torque x speed values')<br>
<br>
//vt12 = 5350.3 5380.19 5410.08 5439.96 4149.5 4179.35 3756.57 3602.73 3568.12 3597.85 3681.91 3711.59 6143.24 6172.86 6202.49 6232.1<br>
//vv12 = 40.16 39.93 39.71 39.49 69.04 68.54 95.32 119.26 140.49 139.32 155.62 154.37 93.27 92.82 92.38 91.94<o:p></o:p></p>
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<p class="MsoNormal"><br>
but I'm getting the error: lsq_plin: There are not enough points to adjust.<br>
<br>
Does anyone understand what could be wrong?<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
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