void avpriv_solve_lls(LLSModel *m, double threshold, unsigned short min_order)

{

    int i, j, k;

    double (*factor)[MAX_VARS_ALIGN] = (void *) &m->covariance[1][0];

    double (*covar) [MAX_VARS_ALIGN] = (void *) &m->covariance[1][1];

    double *covar_y                = m->covariance[0];

    int count                      = m->indep_count;



    for (i = 0; i < count; i++) {

        for (j = i; j < count; j++) {

            double sum = covar[i][j];



            for (k = i - 1; k >= 0; k--)

                sum -= factor[i][k] * factor[j][k];



            if (i == j) {

                if (sum < threshold)

                    sum = 1.0;

                factor[i][i] = sqrt(sum);

            } else {

                factor[j][i] = sum / factor[i][i];

            }

        }

    }



    for (i = 0; i < count; i++) {

        double sum = covar_y[i + 1];



        for (k = i - 1; k >= 0; k--)

            sum -= factor[i][k] * m->coeff[0][k];



        m->coeff[0][i] = sum / factor[i][i];

    }



    for (j = count - 1; j >= min_order; j--) {

        for (i = j; i >= 0; i--) {

            double sum = m->coeff[0][i];



            for (k = i + 1; k <= j; k++)

                sum -= factor[k][i] * m->coeff[j][k];



            m->coeff[j][i] = sum / factor[i][i];

        }



        m->variance[j] = covar_y[0];



        for (i = 0; i <= j; i++) {

            double sum = m->coeff[j][i] * covar[i][i] - 2 * covar_y[i + 1];



            for (k = 0; k < i; k++)

                sum += 2 * m->coeff[j][k] * covar[k][i];



            m->variance[j] += m->coeff[j][i] * sum;

        }

    }

}

void avpriv_solve_lls(LLSModel *m, double threshold, unsigned short min_order)

{

    int i, j, k;

    double (*factor)[MAX_VARS_ALIGN] = (void *) &m->covariance[1][0];

    double (*covar) [MAX_VARS_ALIGN] = (void *) &m->covariance[1][1];

    double *covar_y                = m->covariance[0];

    int count                      = m->indep_count;



    for (i = 0; i < count; i++) {

        for (j = i; j < count; j++) {

            double sum = covar[i][j];



            for (k = i - 1; k >= 0; k--)

                sum -= factor[i][k] * factor[j][k];



            if (i == j) {

                if (sum < threshold)

                    sum = 1.0;

                factor[i][i] = sqrt(sum);

            } else {

                factor[j][i] = sum / factor[i][i];

            }

        }

    }



    for (i = 0; i < count; i++) {

        double sum = covar_y[i + 1];



        for (k = i - 1; k >= 0; k--)

            sum -= factor[i][k] * m->coeff[0][k];



        m->coeff[0][i] = sum / factor[i][i];

    }



    for (j = count - 1; j >= min_order; j--) {

        for (i = j; i >= 0; i--) {

            double sum = m->coeff[0][i];



            for (k = i + 1; k <= j; k++)

                sum -= factor[k][i] * m->coeff[j][k];



            m->coeff[j][i] = sum / factor[i][i];

        }



        m->variance[j] = covar_y[0];



        for (i = 0; i <= j; i++) {

            double sum = m->coeff[j][i] * covar[i][i] - 2 * covar_y[i + 1];



            for (k = 0; k < i; k++)

                sum += 2 * m->coeff[j][k] * covar[k][i];



            m->variance[j] += m->coeff[j][i] * sum;

        }

    }

}

void FUNC_0(LLSModel *VAR_0, double VAR_1, unsigned short VAR_2)

{

    int VAR_3, VAR_4, VAR_5;

    double (*VAR_6)[MAX_VARS_ALIGN] = (void *) &VAR_0->covariance[1][0];

    double (*VAR_7) [MAX_VARS_ALIGN] = (void *) &VAR_0->covariance[1][1];

    double *VAR_8                = VAR_0->covariance[0];

    int VAR_9                      = VAR_0->indep_count;



    for (VAR_3 = 0; VAR_3 < VAR_9; VAR_3++) {

        for (VAR_4 = VAR_3; VAR_4 < VAR_9; VAR_4++) {

            double VAR_11 = VAR_7[VAR_3][VAR_4];



            for (VAR_5 = VAR_3 - 1; VAR_5 >= 0; VAR_5--)

                VAR_11 -= VAR_6[VAR_3][VAR_5] * VAR_6[VAR_4][VAR_5];



            if (VAR_3 == VAR_4) {

                if (VAR_11 < VAR_1)

                    VAR_11 = 1.0;

                VAR_6[VAR_3][VAR_3] = sqrt(VAR_11);

            } else {

                VAR_6[VAR_4][VAR_3] = VAR_11 / VAR_6[VAR_3][VAR_3];

            }

        }

    }



    for (VAR_3 = 0; VAR_3 < VAR_9; VAR_3++) {

        double VAR_11 = VAR_8[VAR_3 + 1];



        for (VAR_5 = VAR_3 - 1; VAR_5 >= 0; VAR_5--)

            VAR_11 -= VAR_6[VAR_3][VAR_5] * VAR_0->coeff[0][VAR_5];



        VAR_0->coeff[0][VAR_3] = VAR_11 / VAR_6[VAR_3][VAR_3];

    }



    for (VAR_4 = VAR_9 - 1; VAR_4 >= VAR_2; VAR_4--) {

        for (VAR_3 = VAR_4; VAR_3 >= 0; VAR_3--) {

            double VAR_11 = VAR_0->coeff[0][VAR_3];



            for (VAR_5 = VAR_3 + 1; VAR_5 <= VAR_4; VAR_5++)

                VAR_11 -= VAR_6[VAR_5][VAR_3] * VAR_0->coeff[VAR_4][VAR_5];



            VAR_0->coeff[VAR_4][VAR_3] = VAR_11 / VAR_6[VAR_3][VAR_3];

        }



        VAR_0->variance[VAR_4] = VAR_8[0];



        for (VAR_3 = 0; VAR_3 <= VAR_4; VAR_3++) {

            double VAR_11 = VAR_0->coeff[VAR_4][VAR_3] * VAR_7[VAR_3][VAR_3] - 2 * VAR_8[VAR_3 + 1];



            for (VAR_5 = 0; VAR_5 < VAR_3; VAR_5++)

                VAR_11 += 2 * VAR_0->coeff[VAR_4][VAR_5] * VAR_7[VAR_5][VAR_3];



            VAR_0->variance[VAR_4] += VAR_0->coeff[VAR_4][VAR_3] * VAR_11;

        }

    }

}

void FUNC_0(LLSModel *VAR_0, double VAR_1, unsigned short VAR_2)
{ int VAR_3, VAR_4, VAR_5; double (*VAR_6)[MAX_VARS_ALIGN] = (void *) &VAR_0->covariance[1][0]; double (*VAR_7) [MAX_VARS_ALIGN] = (void *) &VAR_0->covariance[1][1]; double *VAR_8                = VAR_0->covariance[0]; int VAR_9                      = VAR_0->indep_count; for (VAR_3 = 0; VAR_3 < VAR_9; VAR_3++) { for (VAR_4 = VAR_3; VAR_4 < VAR_9; VAR_4++) { double VAR_11 = VAR_7[VAR_3][VAR_4]; for (VAR_5 = VAR_3 - 1; VAR_5 >= 0; VAR_5--) VAR_11 -= VAR_6[VAR_3][VAR_5] * VAR_6[VAR_4][VAR_5]; if (VAR_3 == VAR_4) { if (VAR_11 < VAR_1)
VAR_11 = 1.0; VAR_6[VAR_3][VAR_3] = sqrt(VAR_11); } else { VAR_6[VAR_4][VAR_3] = VAR_11 / VAR_6[VAR_3][VAR_3]; } } } for (VAR_3 = 0; VAR_3 < VAR_9; VAR_3++) { double VAR_11 = VAR_8[VAR_3 + 1]; for (VAR_5 = VAR_3 - 1; VAR_5 >= 0; VAR_5--) VAR_11 -= VAR_6[VAR_3][VAR_5] * VAR_0->coeff[0][VAR_5]; VAR_0->coeff[0][VAR_3] = VAR_11 / VAR_6[VAR_3][VAR_3]; } for (VAR_4 = VAR_9 - 1; VAR_4 >= VAR_2; VAR_4--) { for (VAR_3 = VAR_4; VAR_3 >= 0; VAR_3--) { double VAR_11 = VAR_0->coeff[0][VAR_3]; for (VAR_5 = VAR_3 + 1; VAR_5 <= VAR_4; VAR_5++) VAR_11 -= VAR_6[VAR_5][VAR_3] * VAR_0->coeff[VAR_4][VAR_5]; VAR_0->coeff[VAR_4][VAR_3] = VAR_11 / VAR_6[VAR_3][VAR_3]; } VAR_0->variance[VAR_4] = VAR_8[0]; for (VAR_3 = 0; VAR_3 <= VAR_4; VAR_3++) { double VAR_11 = VAR_0->coeff[VAR_4][VAR_3] * VAR_7[VAR_3][VAR_3] - 2 * VAR_8[VAR_3 + 1]; for (VAR_5 = 0; VAR_5 < VAR_3; VAR_5++) VAR_11 += 2 * VAR_0->coeff[VAR_4][VAR_5] * VAR_7[VAR_5][VAR_3]; VAR_0->variance[VAR_4] += VAR_0->coeff[VAR_4][VAR_3] * VAR_11; } } }