example.txt

来自「科学和工程计算中使用统计功能开发工具包.」· 文本 代码 · 共 95 行

Demonstration of Matrix package



Test 1 - traditional

Estimates and their standard errors

1.391655	0.531878
1.983103	0.209317
0.952208	0.277307

Observations, fitted value, residual value, hat value
2.4	1.7	8.3	7.769	0.53	0.28
1.8	0.9	5.5	5.818	-0.318	0.189
2.4	1.6	8	7.674	0.325	0.228
3	1.9	8.5	9.15	-0.65	0.445
2	0.5	5.7	5.833	-0.133	0.271
1.2	0.6	4.4	4.342	0.057	0.479
2	1.1	6.3	6.405	-0.105	0.143
2.7	1	7.9	7.698	0.201	0.153
3.6	0.5	9.1	9.006	0.093	0.807




Test 2 - Cholesky

Estimates and their standard errors

1.391655	0.531878
1.983103	0.209317
0.952208	0.277307

Observations, fitted value, residual value, hat value
2.4	1.7	8.3	7.769	0.53	0.28
1.8	0.9	5.5	5.818	-0.318	0.189
2.4	1.6	8	7.674	0.325	0.228
3	1.9	8.5	9.15	-0.65	0.445
2	0.5	5.7	5.833	-0.133	0.271
1.2	0.6	4.4	4.342	0.057	0.479
2	1.1	6.3	6.405	-0.105	0.143
2.7	1	7.9	7.698	0.201	0.153
3.6	0.5	9.1	9.006	0.093	0.807




Test 3 - Householder triangularisation

Estimates and their standard errors

1.391655	0.531878
1.983103	0.209317
0.952208	0.277307

Observations, fitted value, residual value, hat value
2.4	1.7	8.3	7.769	0.53	0.28
1.8	0.9	5.5	5.818	-0.318	0.189
2.4	1.6	8	7.674	0.325	0.228
3	1.9	8.5	9.15	-0.65	0.445
2	0.5	5.7	5.833	-0.133	0.271
1.2	0.6	4.4	4.342	0.057	0.479
2	1.1	6.3	6.405	-0.105	0.143
2.7	1	7.9	7.698	0.201	0.153
3.6	0.5	9.1	9.006	0.093	0.807




Test 4 - singular value

Estimates and their standard errors

1.391655	0.531878
1.983103	0.209317
0.952208	0.277307

Observations, fitted value, residual value, hat value
2.4	1.7	8.3	7.769	0.53	0.28
1.8	0.9	5.5	5.818	-0.318	0.189
2.4	1.6	8	7.674	0.325	0.228
3	1.9	8.5	9.15	-0.65	0.445
2	0.5	5.7	5.833	-0.133	0.271
1.2	0.6	4.4	4.342	0.057	0.479
2	1.1	6.3	6.405	-0.105	0.143
2.7	1	7.9	7.698	0.201	0.153
3.6	0.5	9.1	9.006	0.093	0.807




Checking for lost memory: 587792388 587792388  - ok