One-observation-ahead residuals. Total number of observations: 734 [1] 734 [1] 733 [1] 732 [1] 731 [1] 730 [1] 729 [1] 728 [1] 727 [1] 726 [1] 725 [1] 724 [1] 723 [1] 722 [1] 721 [1] 720 [1] 719 [1] 718 [1] 717 [1] 716 [1] 715 [1] 714 [1] 713 [1] 712 [1] 711 [1] 710 [1] 709 [1] 708 [1] 707 [1] 706 [1] 705 [1] 704 [1] 703 [1] 702 [1] 701 [1] 700 [1] 699 [1] 698 [1] 697 [1] 696 [1] 695 [1] 694 [1] 693 [1] 692 [1] 691 [1] 690 [1] 689 [1] 688 [1] 687 [1] 686 [1] 685 [1] 684 [1] 683 [1] 682 [1] 681 [1] 680 [1] 679 [1] 678 [1] 677 [1] 676 [1] 675 [1] 674 [1] 673 [1] 672 [1] 671 [1] 670 [1] 669 [1] 668 [1] 667 [1] 666 [1] 665 [1] 664 [1] 663 [1] 662 [1] 661 [1] 660 [1] 659 [1] 658 [1] 657 [1] 656 [1] 655 [1] 654 [1] 653 [1] 652 [1] 651 [1] 650 [1] 649 [1] 648 [1] 647 [1] 646 [1] 645 [1] 644 [1] 643 [1] 642 [1] 641 [1] 640 [1] 639 [1] 638 [1] 637 [1] 636 [1] 635 [1] 634 [1] 633 [1] 632 [1] 631 [1] 630 [1] 629 [1] 628 [1] 627 [1] 626 [1] 625 [1] 624 [1] 623 [1] 622 [1] 621 [1] 620 [1] 619 [1] 618 [1] 617 [1] 616 [1] 615 [1] 614 [1] 613 [1] 612 [1] 611 [1] 610 [1] 609 [1] 608 [1] 607 [1] 606 [1] 605 [1] 604 [1] 603 [1] 602 [1] 601 [1] 600 [1] 599 [1] 598 [1] 597 [1] 596 [1] 595 [1] 594 [1] 593 [1] 592 [1] 591 [1] 590 [1] 589 [1] 588 [1] 587 [1] 586 [1] 585 [1] 584 [1] 583 [1] 582 [1] 581 [1] 580 [1] 579 [1] 578 [1] 577 [1] 576 [1] 575 [1] 574 [1] 573 [1] 572 [1] 571 [1] 570 [1] 569 [1] 568 [1] 567 [1] 566 [1] 565 [1] 564 [1] 563 [1] 562 [1] 561 [1] 560 [1] 559 [1] 558 [1] 557 [1] 556 [1] 555 [1] 554 [1] 553 [1] 552 [1] 551 [1] 550 [1] 549 [1] 548 [1] 547 [1] 546 [1] 545 [1] 544 [1] 543 [1] 542 [1] 541 [1] 540 [1] 539 [1] 538 [1] 537 [1] 536 [1] 535 [1] 534 [1] 533 [1] 532 [1] 531 [1] 530 [1] 529 [1] 528 [1] 527 [1] 526 [1] 525 [1] 524 [1] 523 [1] 522 [1] 521 [1] 520 [1] 519 [1] 518 [1] 517 [1] 516 [1] 515 [1] 514 [1] 513 [1] 512 [1] 511 [1] 510 [1] 509 [1] 508 [1] 507 [1] 506 [1] 505 [1] 504 [1] 503 [1] 502 [1] 501 [1] 500 [1] 499 [1] 498 [1] 497 [1] 496 [1] 495 [1] 494 [1] 493 [1] 492 [1] 491 [1] 490 [1] 489 [1] 488 [1] 487 [1] 486 [1] 485 [1] 484 [1] 483 [1] 482 [1] 481 [1] 480 [1] 479 [1] 478 [1] 477 [1] 476 [1] 475 [1] 474 [1] 473 [1] 472 [1] 471 [1] 470 [1] 469 [1] 468 [1] 467 [1] 466 [1] 465 [1] 464 [1] 463 [1] 462 [1] 461 [1] 460 [1] 459 [1] 458 [1] 457 [1] 456 [1] 455 [1] 454 [1] 453 [1] 452 [1] 451 [1] 450 [1] 449 [1] 448 [1] 447 [1] 446 [1] 445 [1] 444 [1] 443 [1] 442 [1] 441 [1] 440 [1] 439 [1] 438 [1] 437 [1] 436 [1] 435 [1] 434 [1] 433 [1] 432 [1] 431 [1] 430 [1] 429 [1] 428 [1] 427 [1] 426 [1] 425 [1] 424 [1] 423 [1] 422 [1] 421 [1] 420 [1] 419 [1] 418 [1] 417 [1] 416 [1] 415 [1] 414 [1] 413 [1] 412 [1] 411 [1] 410 [1] 409 [1] 408 [1] 407 [1] 406 [1] 405 [1] 404 [1] 403 [1] 402 [1] 401 [1] 400 [1] 399 [1] 398 [1] 397 [1] 396 [1] 395 [1] 394 [1] 393 [1] 392 [1] 391 [1] 390 [1] 389 [1] 388 [1] 387 [1] 386 [1] 385 [1] 384 [1] 383 [1] 382 [1] 381 [1] 380 [1] 379 [1] 378 [1] 377 [1] 376 [1] 375 [1] 374 [1] 373 [1] 372 [1] 371 [1] 370 [1] 369 [1] 368 [1] 367 [1] 366 [1] 365 [1] 364 [1] 363 [1] 362 [1] 361 [1] 360 [1] 359 [1] 358 [1] 357 [1] 356 [1] 355 [1] 354 [1] 353 [1] 352 [1] 351 [1] 350 [1] 349 [1] 348 [1] 347 [1] 346 [1] 345 [1] 344 [1] 343 [1] 342 [1] 341 [1] 340 [1] 339 [1] 338 [1] 337 [1] 336 [1] 335 [1] 334 [1] 333 [1] 332 [1] 331 [1] 330 [1] 329 [1] 328 [1] 327 [1] 326 [1] 325 [1] 324 [1] 323 [1] 322 [1] 321 [1] 320 [1] 319 [1] 318 [1] 317 [1] 316 [1] 315 [1] 314 [1] 313 [1] 312 [1] 311 [1] 310 [1] 309 [1] 308 [1] 307 [1] 306 [1] 305 [1] 304 [1] 303 [1] 302 [1] 301 [1] 300 [1] 299 [1] 298 [1] 297 [1] 296 [1] 295 [1] 294 [1] 293 [1] 292 [1] 291 [1] 290 [1] 289 [1] 288 [1] 287 [1] 286 [1] 285 [1] 284 [1] 283 [1] 282 [1] 281 [1] 280 [1] 279 [1] 278 [1] 277 [1] 276 [1] 275 [1] 274 [1] 273 [1] 272 [1] 271 [1] 270 [1] 269 [1] 268 [1] 267 [1] 266 [1] 265 [1] 264 [1] 263 [1] 262 [1] 261 [1] 260 [1] 259 [1] 258 [1] 257 [1] 256 [1] 255 [1] 254 [1] 253 [1] 252 [1] 251 [1] 250 [1] 249 [1] 248 [1] 247 [1] 246 [1] 245 [1] 244 [1] 243 [1] 242 [1] 241 [1] 240 [1] 239 [1] 238 [1] 237 [1] 236 [1] 235 [1] 234 [1] 233 [1] 232 [1] 231 [1] 230 [1] 229 [1] 228 [1] 227 [1] 226 [1] 225 [1] 224 [1] 223 [1] 222 [1] 221 [1] 220 [1] 219 [1] 218 [1] 217 [1] 216 [1] 215 [1] 214 [1] 213 [1] 212 [1] 211 [1] 210 [1] 209 [1] 208 [1] 207 [1] 206 [1] 205 [1] 204 [1] 203 [1] 202 [1] 201 [1] 200 [1] 199 [1] 198 [1] 197 [1] 196 [1] 195 [1] 194 [1] 193 [1] 192 [1] 191 [1] 190 [1] 189 [1] 188 [1] 187 [1] 186 [1] 185 [1] 184 [1] 183 [1] 182 [1] 181 [1] 180 [1] 179 [1] 178 [1] 177 [1] 176 [1] 175 [1] 174 [1] 173 [1] 172 [1] 171 [1] 170 [1] 169 [1] 168 [1] 167 [1] 166 [1] 165 [1] 164 [1] 163 [1] 162 [1] 161 [1] 160 [1] 159 [1] 158 [1] 157 [1] 156 [1] 155 [1] 154 [1] 153 [1] 152 [1] 151 [1] 150 [1] 149 [1] 148 [1] 147 [1] 146 [1] 145 [1] 144 [1] 143 [1] 142 [1] 141 [1] 140 [1] 139 [1] 138 [1] 137 [1] 136 [1] 135 [1] 134 [1] 133 [1] 132 [1] 131 [1] 130 [1] 129 [1] 128 [1] 127 [1] 126 [1] 125 [1] 124 [1] 123 [1] 122 [1] 121 [1] 120 [1] 119 [1] 118 [1] 117 [1] 116 [1] 115 [1] 114 [1] 113 [1] 112 [1] 111 [1] 110 [1] 109 [1] 108 [1] 107 [1] 106 [1] 105 [1] 104 [1] 103 [1] 102 [1] 101 [1] 100 [1] 99 [1] 98 [1] 97 [1] 96 [1] 95 [1] 94 [1] 93 [1] 92 [1] 91 [1] 90 [1] 89 [1] 88 [1] 87 [1] 86 [1] 85 [1] 84 [1] 83 [1] 82 [1] 81 [1] 80 [1] 79 [1] 78 [1] 77 [1] 76 [1] 75 [1] 74 [1] 73 [1] 72 [1] 71 [1] 70 [1] 69 [1] 68 [1] 67 [1] 66 [1] 65 [1] 64 [1] 63 [1] 62 [1] 61 [1] 60 [1] 59 [1] 58 [1] 57 [1] 56 [1] 55 [1] 54 [1] 53 [1] 52 [1] 51 [1] 50 [1] 49 [1] 48 [1] 47 [1] 46 [1] 45 [1] 44 [1] 43 [1] 42 [1] 41 [1] 40 [1] 39 [1] 38 [1] 37 [1] 36 [1] 35 [1] 34 [1] 33 [1] 32 [1] 31 [1] 30 [1] 29 [1] 28 [1] 27 [1] 26 [1] 25 [1] 24 [1] 23 [1] 22 [1] 21 [1] 20 [1] 19 [1] 18 [1] 17 [1] 16 [1] 15 [1] 14 [1] 13 [1] 12 [1] 11 [1] 10 [1] 9 [1] 8 [1] 7 [1] 6 [1] 5 [1] 4 [1] 3 [1] 2 [1] 1 One-observation-ahead residuals. Done iter: 1 mgc: 1.619023e-09 Matching hessian patterns... Done outer mgc: 2.614131e-12 iter: 1 value: -360.713 mgc: 0.007412858 ustep: 1 iter: 2 value: -360.713 mgc: 6.259179e-08 ustep: 1 mgc: 6.663559e-13 outer mgc: 0.2131038 iter: 1 value: -360.7133 mgc: 0.007412858 ustep: 1 iter: 2 value: -360.7133 mgc: 6.259349e-08 ustep: 1 mgc: 4.583001e-13 outer mgc: 0.2131038 iter: 1 value: -360.7132 mgc: 0.01925689 ustep: 1 iter: 2 value: -360.7132 mgc: 5.170447e-07 ustep: 1 iter: 3 mgc: 4.893863e-13 outer mgc: 0.5456313 iter: 1 value: -360.7127 mgc: 0.01925689 ustep: 1 iter: 2 value: -360.7127 mgc: 5.174449e-07 ustep: 1 iter: 3 mgc: 6.158407e-13 outer mgc: 0.54563 iter: 1 value: -360.7133 mgc: 0.02731131 ustep: 1 iter: 2 value: -360.7133 mgc: 5.229562e-06 ustep: 1 iter: 3 mgc: 4.689582e-13 outer mgc: 0.7328506 iter: 1 value: -360.7124 mgc: 0.02731131 ustep: 1 iter: 2 value: -360.7124 mgc: 5.237347e-06 ustep: 1 iter: 3 mgc: 5.737633e-13 outer mgc: 0.7328321 iter: 1 value: -360.7125 mgc: 0.02731131 ustep: 1 iter: 2 value: -360.7125 mgc: 1.014283e-05 ustep: 1 iter: 3 mgc: 4.79794e-12 outer mgc: 0.7017111 iter: 1 value: -360.7133 mgc: 0.02731131 ustep: 1 iter: 2 value: -360.7133 mgc: 1.01572e-05 ustep: 1 iter: 3 mgc: 4.869549e-12 outer mgc: 0.7016927 iter: 1 value: -360.712 mgc: 0.02731131 ustep: 1 iter: 2 value: -360.712 mgc: 2.666393e-05 ustep: 1 iter: 3 mgc: 8.668177e-12 outer mgc: 0.6646112 iter: 1 value: -360.7138 mgc: 0.02731131 ustep: 1 iter: 2 value: -360.7138 mgc: 2.670903e-05 ustep: 1 iter: 3 mgc: 8.595347e-12 outer mgc: 0.6645749 iter: 1 value: -360.7133 mgc: 0.02731131 ustep: 1 iter: 2 value: -360.7133 mgc: 2.160524e-05 ustep: 1 iter: 3 mgc: 2.743539e-11 outer mgc: 0.6459208 iter: 1 value: -360.7125 mgc: 0.02731131 ustep: 1 iter: 2 value: -360.7125 mgc: 2.163637e-05 ustep: 1 iter: 3 mgc: 2.732836e-11 outer mgc: 0.6458903 iter: 1 value: -360.7129 mgc: 0.02731131 ustep: 1 iter: 2 value: -360.7129 mgc: 2.597597e-05 ustep: 1 iter: 3 mgc: 8.709744e-11 outer mgc: 0.6312278 iter: 1 value: -360.7129 mgc: 0.02731131 ustep: 1 iter: 2 value: -360.7129 mgc: 2.623042e-05 ustep: 1 iter: 3 mgc: 8.845102e-11 outer mgc: 0.6311011 iter: 1 value: -360.716 mgc: 0.01783449 ustep: 1 iter: 2 value: -360.716 mgc: 4.485768e-05 ustep: 1 iter: 3 mgc: 2.242881e-10 outer mgc: 0.2783751 iter: 1 value: -360.7103 mgc: 0.0178345 ustep: 1 iter: 2 value: -360.7103 mgc: 4.463102e-05 ustep: 1 iter: 3 mgc: 2.212621e-10 outer mgc: 0.2785058 iter: 1 value: -360.7129 mgc: 0.003646045 ustep: 1 iter: 2 value: -360.7129 mgc: 1.20076e-08 ustep: 1 mgc: 4.569678e-13 outer mgc: 0.09632543 iter: 1 value: -360.7136 mgc: 0.003646045 ustep: 1 iter: 2 value: -360.7136 mgc: 1.200799e-08 ustep: 1 mgc: 4.622414e-13 outer mgc: 0.09632546 iter: 1 value: -360.7151 mgc: 0.01648346 ustep: 1 iter: 2 value: -360.7151 mgc: 2.318855e-06 ustep: 1 iter: 3 mgc: 5.435652e-13 outer mgc: 0.4198239 iter: 1 value: -360.711 mgc: 0.01648346 ustep: 1 iter: 2 value: -360.711 mgc: 2.318452e-06 ustep: 1 iter: 3 mgc: 7.310819e-13 outer mgc: 0.4198215 iter: 1 value: -360.7134 mgc: 0.01648346 ustep: 1 iter: 2 value: -360.7134 mgc: 1.51008e-07 ustep: 1 iter: 3 mgc: 5.204726e-13 outer mgc: 0.4435085 iter: 1 value: -360.7127 mgc: 0.01648346 ustep: 1 iter: 2 value: -360.7127 mgc: 1.51047e-07 ustep: 1 iter: 3 mgc: 6.337153e-13 outer mgc: 0.4435084 iter: 1 value: -360.7132 mgc: 0.01648346 ustep: 1 iter: 2 value: -360.7132 mgc: 3.715205e-07 ustep: 1 iter: 3 mgc: 6.848966e-13 outer mgc: 0.4395304 iter: 1 value: -360.7129 mgc: 0.01648346 ustep: 1 iter: 2 value: -360.7129 mgc: 3.715497e-07 ustep: 1 iter: 3 mgc: 6.359357e-13 outer mgc: 0.4395303 iter: 1 value: -360.7131 mgc: 0.01648346 ustep: 1 iter: 2 value: -360.7131 mgc: 2.50106e-06 ustep: 1 iter: 3 mgc: 6.856737e-13 outer mgc: 0.4297383 iter: 1 value: -360.7129 mgc: 0.01648346 ustep: 1 iter: 2 value: -360.7129 mgc: 2.501154e-06 ustep: 1 iter: 3 mgc: 6.613599e-13 outer mgc: 0.42974 iter: 1 value: -360.7132 mgc: 0.01648346 ustep: 1 iter: 2 value: -360.7132 mgc: 4.269806e-06 ustep: 1 iter: 3 mgc: 7.158718e-13 outer mgc: 0.4200308 iter: 1 value: -360.7129 mgc: 0.01648346 ustep: 1 iter: 2 value: -360.7129 mgc: 4.269864e-06 ustep: 1 iter: 3 mgc: 5.559997e-13 outer mgc: 0.4200334 iter: 1 value: -360.7168 mgc: 0.008819025 ustep: 1 iter: 2 value: -360.7168 mgc: 1.252007e-05 ustep: 1 iter: 3 mgc: 1.518785e-12 outer mgc: 0.2783637 iter: 1 value: -360.7094 mgc: 0.008819024 ustep: 1 iter: 2 value: -360.7094 mgc: 1.252132e-05 ustep: 1 iter: 3 mgc: 1.464495e-12 outer mgc: 0.2783621 iter: 1 value: -360.5647 mgc: 0.01734341 ustep: 1 iter: 2 value: -360.5647 mgc: 4.799288e-06 ustep: 1 iter: 3 mgc: 1.713296e-12 outer mgc: 0.08047389 iter: 1 value: -360.8618 mgc: 0.01737814 ustep: 1 iter: 2 value: -360.8618 mgc: 4.794574e-06 ustep: 1 iter: 3 mgc: 1.729283e-12 outer mgc: 0.08041828 iter: 1 value: -360.7078 mgc: 0.01624958 ustep: 1 iter: 2 value: -360.7078 mgc: 3.605745e-08 ustep: 1 mgc: 5.382361e-13 outer mgc: 0.03937597 iter: 1 value: -360.7187 mgc: 0.01628211 ustep: 1 iter: 2 value: -360.7187 mgc: 3.616817e-08 ustep: 1 mgc: 5.417888e-13 outer mgc: 0.03940394 iter: 1 value: -360.509 mgc: 0.03572998 ustep: 1 iter: 2 value: -360.509 mgc: 2.347378e-06 ustep: 1 iter: 3 mgc: 4.574119e-13 outer mgc: 0.01836775 iter: 1 value: -360.9175 mgc: 0.03580151 ustep: 1 iter: 2 value: -360.9175 mgc: 2.356444e-06 ustep: 1 iter: 3 mgc: 5.719869e-13 outer mgc: 0.01836177 iter: 1 value: -360.6196 mgc: 0.0160058 ustep: 1 iter: 2 value: -360.6196 mgc: 1.178676e-05 ustep: 1 iter: 3 mgc: 6.412648e-13 outer mgc: 0.2351762 iter: 1 value: -360.8068 mgc: 0.01603785 ustep: 1 iter: 2 value: -360.8068 mgc: 1.178628e-05 ustep: 1 iter: 3 mgc: 9.450218e-13 outer mgc: 0.235249 iter: 1 value: -360.7112 mgc: 0.01637878 ustep: 1 iter: 2 value: -360.7112 mgc: 2.530241e-06 ustep: 1 iter: 3 mgc: 4.689582e-13 outer mgc: 0.1297635 iter: 1 value: -360.7151 mgc: 0.01639516 ustep: 1 iter: 2 value: -360.7151 mgc: 2.541833e-06 ustep: 1 iter: 3 mgc: 7.7649e-13 outer mgc: 0.1300323 iter: 1 value: -360.7099 mgc: 0.03364758 ustep: 1 iter: 2 value: -360.7099 mgc: 4.868975e-07 ustep: 1 iter: 3 mgc: 4.707346e-13 outer mgc: 0.2244415 iter: 1 value: -360.7164 mgc: 0.03374852 ustep: 1 iter: 2 value: -360.7164 mgc: 4.885167e-07 ustep: 1 iter: 3 mgc: 5.355716e-13 outer mgc: 0.2249097 iter: 1 value: -360.6807 mgc: 0.03460021 ustep: 1 iter: 2 value: -360.6807 mgc: 1.012621e-05 ustep: 1 iter: 3 mgc: 9.042544e-12 outer mgc: 0.3285603 iter: 1 value: -360.7455 mgc: 0.03468936 ustep: 1 iter: 2 value: -360.7455 mgc: 1.017478e-05 ustep: 1 iter: 3 mgc: 9.118928e-12 outer mgc: 0.3289557 iter: 1 value: -360.7127 mgc: 0.009094385 ustep: 1 iter: 2 value: -360.7127 mgc: 3.785885e-08 ustep: 1 mgc: 5.124789e-13 outer mgc: 0.07562579 iter: 1 value: -360.7137 mgc: 0.00911216 ustep: 1 iter: 2 value: -360.7137 mgc: 3.836229e-08 ustep: 1 mgc: 5.506706e-13 outer mgc: 0.07578361 iter: 1 value: -360.6931 mgc: 0.03000114 ustep: 1 iter: 2 value: -360.6931 mgc: 4.684271e-06 ustep: 1 iter: 3 mgc: 5.782042e-13 outer mgc: 0.3335433 iter: 1 value: -360.7331 mgc: 0.03006055 ustep: 1 iter: 2 value: -360.7331 mgc: 4.699542e-06 ustep: 1 iter: 3 mgc: 5.915268e-13 outer mgc: 0.3339863 iter: 1 value: -360.6957 mgc: 0.016597 ustep: 1 iter: 2 value: -360.6957 mgc: 3.355617e-06 ustep: 1 iter: 3 mgc: 9.130474e-13 outer mgc: 0.08887434 iter: 1 value: -360.7307 mgc: 0.01661343 ustep: 1 iter: 2 value: -360.7307 mgc: 3.367769e-06 ustep: 1 iter: 3 mgc: 8.96172e-13 outer mgc: 0.08892141 iter: 1 value: -360.7058 mgc: 0.01351853 ustep: 1 iter: 2 value: -360.7058 mgc: 2.746271e-07 ustep: 1 iter: 3 mgc: 5.244694e-13 outer mgc: 0.09215827 iter: 1 value: -360.7206 mgc: 0.0135338 ustep: 1 iter: 2 value: -360.7206 mgc: 2.754709e-07 ustep: 1 iter: 3 mgc: 5.20195e-13 outer mgc: 0.0922638 iter: 1 value: -360.8453 mgc: 0.01635357 ustep: 1 iter: 2 value: -360.8453 mgc: 2.345564e-06 ustep: 1 iter: 3 mgc: 5.965783e-13 outer mgc: 0.0495737 iter: 1 value: -360.5813 mgc: 0.01631885 ustep: 1 iter: 2 value: -360.5813 mgc: 2.340841e-06 ustep: 1 iter: 3 mgc: 7.995826e-13 outer mgc: 0.04957318 outer mgc: 15.29582