Factor analysis of geochemical prospecting data has been applied for the interpretation of stream sediments and soil surveys [1-4]. R-mode factor analysis in particular gives useful information concerning relationships between elements and is more widely used for the interpretation of geochemical data. It identifies groups of elements which behave similarly in a particular geochemical environment and could serve as a pointer to elemental associations present in economic mineralization within a drainage catchment area. The geochemical project which gave rise to this paper involved a stream sediment survey of Onyami drainage system in Igarra district within a forested terrain of southwestern Nigeria. It was undertaken as part of a long-term plan initiated by the Postgraduate Research Group of the Department of Applied Geology, The Federal University of Technology, Akure (FUTA), Nigeria to search for metallic mineralization, especially gold, in the district. The drive for the research is predicated on the similarity of the geological setting of the district (dominated by the Igarra schist belt) to those of auriferous Birnin Gwari, Maru and Ife-Ilesha Schist Belts in other parts of Nigeria [5,6]. This paper aims at evaluating the inter-element relationship, employing R-mode factor analysis, in the geochemical data derived from a stream sediment survey of the Onyami drainage system. This is done with a view to identifying elements and target areas that are worth further prospecting pursuit.

The area under investigation is situated in the southwestern part of the Precambrian Basement Complex of Nigeria (Figure 1). It falls between latitude 7˚12'N and 7˚30'N and longitude 6˚00'E and 6˚15'. The total area covered is about 900 km². The Precambrian basement complex of Nigeria has been classified into four major groups or divisions on a tectono-stratigraphic basis [7]. These major rock groups consist of the Gneiss-Migmatite-Quartzite complex, the Schist Belts, the Pan African Granites (Older Granites and associated granitoids), and Minor Felsic and Mafic Intrusives. The Onyami River and its tributaries covered in the stream sediment survey

drain the Igarra area which is underlain by syn to latetectonic porphyritic and non-porphyritic granites, the Igarra Schist Belt and gneiss-migmatite complex. Dykes and veins of lamprophyre, syenite, dolerite, quartz and pegmatite are intruded into the various rock groups. The Igarra Schist Belt underlies most part of the study area and it consists of essentially low grade metasediments composed of phyllites, quartzite and quartz schist, metaconglomerates, quartz-mica and mica schists, flaggy gneiss, marble, calc-gneiss and calc-silicate rocks [9]. Generally the metasediments are considered as a supracrustal cover over the gneiss-migmatite basement. The granites, typified by the Igarra granite batholith, intrude the metasediments with varying contact metamorphic effects. Fine disseminations of sulphide occur in places in the nonporphyritic granite.

Fifty-nine stream-sediment samples were collected at an average interval of 2 - 3 km along the Onyami River and its tributaries in the Igarra district. The samples were taken with a plastic scoop in the centre of the active streams into pre-labeled baft bags and transported to the laboratory for analysis. They were air-dried for two weeks, disaggregated using porcelain mortar and pestle that are cleaned with acetone after each disaggregation operation and sieved to minus 80 mesh (177 microns). The sieved fraction was further homogenized and prepared ready for analysis in the Activation Laboratories Ltd, Ancaster, Ontario, Canada.

One gram of the homogenized sample was digested with 6 ml of a 2-2-2 ml mixture of HCl-HNO₃-H₂O at 95˚C for one hour. After filtration, the leached solution was diluted with ultra pure water to 20 ml inside a volumetric flask. The concentrations of 29 minor and trace elements were determined by Inductively Coupled PlasmaMass Spectrophotometer (ICP-MS). Analytical precision and accuracy were determined by the analyses of duplicates and random insertion of standard samples according to the method of [10]. Both accuracy and precision were reasonable and satisfactory at the 95% confidence level.

The results of the chemical analyses of the stream sediment samples for the following 29 elements were subjected to data analysis: Ag, As, Au, B, Be, Bi, Co, Cr, Cu, Ga, Hg, Hf, La, Mo, Nb, Ni, Pb, Pt, Sb, Sc, Sr, Ta, Th, Ti, Tl, U, V, W and Zn. Factor analysis was applied to 22 of the elements for which the Pearson correlation coefficients between pairs were also calculated, using the Statistical Package for Social Sciences (SPSS). The elements excluded from the analysis were Hf, Tl, Be, Ti, Bi, Ta and Pt.

The total variance contained in each factor is re-expressed by the eigen value provided by the principal component solution as an initial set of uncorrelated linear transform of the original variables. The factor loadings, which can be considered as a combination between the elements, were computed after rotating the original principal component solution according to the Quartimax rotation method with Kaiser’s normalization (Table 1). The element associations of a four-factor model and their eigen values in % are presented in Table 2.

Figure 2 shows the sample sites superimposed on the geology of the study area. This is done for ease of interpretation and simplification. Factor score coefficients were tabulated and used to obtain cumulate factor scores. The correlation matrixes of factors are shown in Table 3. For this study, variables with loadings greater than 0.70 are considered significant groups of a particular factor.