Using scikit learn, how to perform Linear Regression to predict a position at a given time. I have a csv file containing yaw, pitch, and roll position data for each time and would like to predict what the new position would be for a given time. For example, what would the predicted position be at time 31 from using the data of times 1 to 30.

The csv file contains the following:

time	yaw	pitch	roll
1	-0.7178583	-4.4662444	-3.32
2	-0.7178583	-4.4662444	-3.32
3	-0.7848583	-4.4552444	-3.281
4	-0.7848583	-4.4552444	-3.281
5	-0.8318583	-4.5232444	-3.225
6	-0.8318583	-4.5232444	-3.225
7	-0.8728583	-4.6712444	-3.133
8	-0.8728583	-4.6712444	-3.133
9	-0.9238583	-5.0042444	-3.018
10	-0.9238583	-5.0042444	-3.018
11	-0.8728583	-5.3362444	-2.919
12	-0.8728583	-5.3362444	-2.919
13	-0.6458583	-5.6482444	-2.878
14	-0.6458583	-5.6482444	-2.878
15	-0.2948583	-5.7642444	-2.928
16	-0.2948583	-5.7642444	-2.928
17	0.13114167	-5.7862444	-2.951
18	0.13114167	-5.7862444	-2.951
19	0.53414167	-5.9662444	-2.935
20	0.53414167	-5.9662444	-2.935
21	0.87514167	-6.3692444	-2.908
22	0.87514167	-6.3692444	-2.908
23	1.14814167	-6.9052444	-2.909
24	1.14814167	-6.9052444	-2.909
25	1.40714167	-7.4942444	-2.91
26	1.40714167	-7.4942444	-2.91
27	1.62214167	-8.0082444	-2.89
28	1.62214167	-8.0082444	-2.89
29	1.71014167	-8.3052444	-2.856
30	1.71014167	-8.3052444	-2.856