/* nag_pls_orth_scores_pred (g02ldc) Example Program.
*
* Copyright 2014 Numerical Algorithms Group.
*
* Mark 9, 2009.
*/
/* Pre-processor includes */
#include <stdio.h>
#include <math.h>
#include <nag.h>
#include <nag_stdlib.h>
#include <nagg02.h>
#include <nagx04.h>
int main(void)
{
/*Integer scalar and array declarations */
Integer exit_status = 0;
Integer i, ip, j, l, my, mz, n;
Integer pdb, pdyhat, pdz;
Integer *isz = 0;
/*Double scalar and array declarations */
double *b = 0, *xbar = 0, *xstd = 0, *ybar = 0, *yhat = 0;
double *ystd = 0, *z = 0;
/*Character scalar and array declarations */
char siscale[40], sorig[40];
/*NAG Types */
Nag_OrderType order;
Nag_ScalePredictor iscale;
Nag_EstimatesOption orig;
NagError fail;
INIT_FAIL(fail);
printf("nag_pls_orth_scores_pred (g02ldc) Example Program Results\n");
/* Skip header in data file.*/
scanf("%*[^\n] ");
/* Read data values.*/
scanf("%ld%ld%39s %39s %ld%ld%*[^\n] ",
&ip, &my, sorig, siscale, &n, &mz);
orig = (Nag_EstimatesOption) nag_enum_name_to_value(sorig);
iscale = (Nag_ScalePredictor) nag_enum_name_to_value(siscale);
#ifdef NAG_COLUMN_MAJOR
pdb = ((orig == Nag_EstimatesStand)?ip:1+ip);
#define B(I, J) b[(J-1)*pdb + I-1]
pdyhat = n;
#define YHAT(I, J) yhat[(J-1)*pdyhat + I-1]
pdz = n;
#define Z(I, J) z[(J-1)*pdz + I-1]
order = Nag_ColMajor;
#else
pdb = my;
#define B(I, J) b[(I-1)*pdb + J-1]
pdyhat = my;
#define YHAT(I, J) yhat[(I-1)*pdyhat + J-1]
pdz = mz;
#define Z(I, J) z[(I-1)*pdz + J-1]
order = Nag_RowMajor;
#endif
if (!(b = NAG_ALLOC(pdb*(order == Nag_RowMajor?(1+ip):my), double)) ||
!(xbar = NAG_ALLOC(ip, double)) ||
!(xstd = NAG_ALLOC(ip, double)) ||
!(ybar = NAG_ALLOC(my, double)) ||
!(yhat = NAG_ALLOC(pdyhat*(order == Nag_RowMajor?n:my), double)) ||
!(ystd = NAG_ALLOC(my, double)) ||
!(z = NAG_ALLOC(pdz*(order == Nag_RowMajor?n:mz), double)) ||
!(isz = NAG_ALLOC(mz, Integer)))
{
printf("Allocation failure\n");
exit_status = -1;
goto END;
}
/* Read prediction x-data*/
for (i = 1; i <= n; i++)
{
for (j = 1; j <= mz; j++)
scanf("%lf ", &Z(i, j));
}
scanf("%*[^\n] ");
/* Read elements of isz*/
for (j = 0; j < mz; j++)
scanf("%ld ", &isz[j]);
scanf("%*[^\n] ");
/* Read parameter estimates*/
l = ip;
if (orig != Nag_EstimatesStand)
{
l = l+1;
}
for (j = 1; j <= l; j++)
{
for (i = 1; i <= my; i++)
scanf("%lf ", &B(j, i));
}
scanf("%*[^\n] ");
/* Read means*/
if (orig == Nag_EstimatesStand)
{
for (j = 0; j < ip; j++)
scanf("%lf ", &xbar[j]);
scanf("%*[^\n] ");
for (l = 0; l < my; l++)
scanf("%lf ", &ybar[l]);
scanf("%*[^\n] ");
}
/* Read scalings*/
if ((orig == Nag_EstimatesStand) && (iscale != Nag_PredNoScale))
{
for (j = 0; j < ip; j++)
scanf("%lf ", &xstd[j]);
scanf("%*[^\n] ");
for (l = 0; l < my; l++)
scanf("%lf ", &ystd[l]);
scanf("%*[^\n] ");
}
/* Calculate predictions*/
/*
* nag_pls_orth_scores_pred (g02ldc)
* Partial least-squares
*/
nag_pls_orth_scores_pred(order, ip, my, orig, xbar, ybar, iscale, xstd,
ystd, b, pdb, n, mz, isz, z, pdz, yhat, pdyhat,
&fail);
if (fail.code != NE_NOERROR)
{
printf("Error from nag_pls_orth_scores_pred (g02ldc).\n%s\n",
fail.message);
exit_status = 1;
goto END;
}
/*
* nag_gen_real_mat_print (x04cac)
* Print real general matrix (easy-to-use)
*/
fflush(stdout);
nag_gen_real_mat_print(order, Nag_GeneralMatrix, Nag_NonUnitDiag, n, my,
yhat, pdyhat, "YHAT", 0, &fail);
if (fail.code != NE_NOERROR)
{
printf("Error from nag_gen_real_mat_print (x04cac).\n%s\n",
fail.message);
exit_status = 1;
goto END;
}
END:
NAG_FREE(b);
NAG_FREE(xbar);
NAG_FREE(xstd);
NAG_FREE(ybar);
NAG_FREE(yhat);
NAG_FREE(ystd);
NAG_FREE(z);
NAG_FREE(isz);
return exit_status;
}