Why do we get this result on a small data set ?

[Qusai-Azzam]

i have a model with 9 points :

[ first model ]

point [1] = -0.7274105,0.4433649,0.3854795

point [2] = -0.6887414,0.468136,0.3351357

point [3] = -0.6507958,0.4968288,0.3064253

point [4] = -0.608408,0.5224559,0.2845465

point [5] = -0.5705151,0.5428149,0.2762859

point [6] = -0.5200281,0.530516,0.290995

point [7] = -0.4738899,0.517576,0.3070973

point [8] = -0.4077983,0.4964231,0.3430573

point [9] = -0.374032,0.4680868,0.3830469

[ Second model ]

point [1] = -0.2999626,-0.1806934,-0.1651699

point [2] = -0.2616181,-0.169532,-0.2044329

point [3] = -0.2160359,-0.1454861,-0.2266136

point [4] = -0.1741856,-0.1275599,-0.2524842

point [5] = -0.1191077,-0.105789,-0.251252

point [6] = -0.05154949,-0.12353,-0.2471861

point [7] = -0.006585903,-0.14095,-0.2418299

point [8] = 0.03595421,-0.1584896,-0.2201264

point [9] = 0.08099623,-0.1683025,-0.189768

we got this result : Transformation results: R: -0.0280522 -0.6967893 0.7167271 0.6285203 0.5452465 0.5546787 -0.7772871 0.4660376 0.4226508

t: 16.1951564 3.4604233 -1.0535334

Why do we got this result, because after we apply it to the models, we still not have accurate matching